Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma Immune and Tumor Components of Bulk Tumor Samples.

Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models. Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data. The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models.

Differential Exon Usage Test for RNA-Seq Data via Empirical Bayes Shrinkage of the Dispersion Parameter. Regularized Estimation of Dynamic Linear Regression in the Presence of Autocorrelated Residuals DREGAR. DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling DWSurv. A Class for Working with Time Series Data Based on 'data. table' and 'R6' with Largely Optional Reference Semantics.

Misc Functions of the Department of Statistics, Probability Theory Group Formerly: E , TU Wien. Easy Interface to the Statistical Disclosure Control Package 'sdcTable' Extended with the 'GaussSuppression' Method. Efficient Calculation of Fine Structure Isotope Patterns via Fourier Transforms of Simplex-Based Elemental Models.

Download School District Geospatial Data, Perform Spatial Analysis, and Create Formatted Exportable Maps. Robust Analytical Methods for Evaluating Educational Interventions using Randomised Controlled Trials Designs. Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Incomplete Spatially Aggregated Data. Exploratory Graph Analysis — a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics.

Extensions for 'ggplot2': Custom Geom, Custom Themes, Plot Alignment, Labelled Panels, Symmetric Scales, and Fixed Panel Size. Sampling from a Empirical Likelihood Bayesian Posterior of Parameters Using Hamiltonian Monte Carlo. Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning.

MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation. Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data.

Estimation of Heritability in High Dimensional Sparse Linear Mixed Models using Variable Selection. Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis. Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses. Extreme Value Mixture Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation. Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership.

selects significant non-additive interaction between two variables using fast GLM implementation. Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components.

Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz. Factor Analysis for Multiple Testing FAMT : Simultaneous Tests under Dependence in High-Dimensional Data.

Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares. A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. A Fast Solver for Parameterized LP Problems, Constrained L1 Minimization Approach to Sparse Precision Matrix Estimation and Dantzig Selector. Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm. Compute Maximal Overlap Discrete Wavelet Transform MODWT and À Trous Discrete Wavelet Transform.

Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors. A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Number Aberrations.

Measuring Functional Diversity FD from Multiple Traits, and Other Tools for Functional Ecology. Functional Data Analysis and Partial Differential Equations PDE ; Statistical Analysis of Functional and Spatial Data, Based on Regression with PDE Regularization. Wrapper for 'FFTW3' Includes: One-Dimensional, Two-Dimensional, Three-Dimensional, and Multivariate Transforms. A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence.

Classifies implicit trading activity from market quotes and computes the probability of informed trading. Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics.

A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis. Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees. Programmatic Utilities for Manipulating Formulas, Expressions, Calls, Assignments and Other R Objects.

Catalogues of Resolution IV Run 2-Level Fractional Factorials Up to 33 Factors that Do Have 5-Letter Words. Wrapper Functions for 'FSL' 'FMRIB' Software Library from Functional MRI of the Brain 'FMRIB'.

audit Bounds for Accounting Populations 会計集団の境界. auditor Model Audit — Verification, Validation, and Error Analysis モデル監査 — 検証、検証、およびエラー分析. audrex Automatic Dynamic Regression using Extreme Gradient Boosting 極端勾配ブーストによる自動ダイナミック回帰. audubon Japanese Text Processing Tools 日本語テキスト処理ツール. augmentedRCBD Analysis of Augmented Randomised Complete Block Designs 拡張無作為化完全ブロック設計の分析.

AugmenterR Data Augmentation for Machine Learning on Tabular Data 表形式のデータに対する機械学習のためのデータ拡張. augSIMEX Analysis of Data with Mixed Measurement Error and Misclassification in Covariates 共変量の混合測定誤差と誤分類によるデータの解析. auk eBird Data Extraction and Processing in R AWKによるeBirdデータの抽出. aum Area Under Minimum of False Positives and Negatives 偽陽性と偽陰性の最小値の下での面積. AurieLSHGaussian Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections ガウス射影の局所感性ハッシュを使って近傍を作成.

auRoc Various Methods to Estimate the AUC AUC推定の様々な方法. ausplotsR TERN AusPlots Analysis Package TERN AusPlots分析パッケージ. AustralianPoliticians Provides Datasets About Australian Politicians オーストラリアの政治家に関するデータセットを提供. AUtests Approximate Unconditional and Permutation Tests おおよその無条件と順列テスト. auth0 Secure Authentication in Shiny with Auth0 Auth0によるShinyでの安全な認証.

pca Automatic Variable Reduction Using Principal Component Analysis 主成分分析を用いた自動変数削減. autoBagging Learning to Rank Bagging Workflows with Metalearning Metalearningを使用した包括的なワークフローのランク付け. autocart Autocorrelation Regression Trees 自己相関回帰ツリー. autocogs Automatic Cognostic Summaries 自動認識サマリー. autoCovariateSelection Automated Covariate Selection Using HDPS Algorithm HDPSアルゴリズムを用いた共変量選択の自動化. autoencoder Sparse Autoencoder for Automatic Learning of Representative Features from Unlabeled Data ラベルなしデータからの代表的な特徴の自動学習のためのスパースオートエンコーダ.

autoFC Automatic Construction of Forced-Choice Tests 強制選択式検定の自動構築. autoFRK Automatic Fixed Rank Kriging 自動固定ランククリギング. autoharp Semi-Automatic Grading of R and Rmd Scripts RおよびRmdスクリプトの半自動グレーディング.

autohrf Automated Generation of Data-Informed GLM Models in Task-Based fMRI Data Analysis タスクベースfMRIデータ解析におけるデータ情報付きGLMモデルの自動生成. autoimage Multiple Heat Maps for Projected Coordinates 強化された画像のプロット. automagic Automagically Document and Install Packages Necessary to Run R Code Rコードを実行するために必要なパッケージを自動的に文書化してインストール. automap Automatic Interpolation Package 自動補間パッケージ. autoMFA Algorithms for Automatically Fitting MFA Models MFAモデルを自動的にフィットさせるアルゴリズム.

automl Deep Learning with Metaheuristic メタヒューリスティックな深層学習. autoMrP Improving MrP with Ensemble Learning アンサンブル学習によるMrPの改善. autonewsmd Auto-Generate Changelog using Conventional Commits 従来のコミットを利用したチェンジログの自動生成. AutoPipe Automated Transcriptome Classifier Pipeline 自動トランスクリプトーム分類器パイプライン. autoplotly Automatic Generation of Interactive Visualizations for Statistical Results 一般的な統計結果の対話型視覚化の自動生成.

Autoplotprotein Development of Visualization Tools for Protein Sequence タンパク質配列の可視化ツールの開発. autoRasch Semi-Automated Rasch Analysis 半自動ラッシュー解析. autoReg Automatic Linear and Logistic Regression and Survival Analysis 線形回帰・ロジスティック回帰・生存率解析の自動化. AutoregressionMDE Minimum Distance Estimation in Autoregressive Model 自己回帰モデルにおける最小距離の推定. AutoScore An Interpretable Machine Learning-Based Automatic Clinical Score Generator 機械学習に基づく解釈可能な自動臨床スコアジェネレータ.

Autoseed Retrieve Disease-Related Genes from Public Sources 公的情報源から疾患関連遺伝子を検索. autostats Auto Stats 自動統計. AutoStepwiseGLM Builds Stepwise GLMs via Train and Test Approach 訓練とテスト手法を用いて段階的なGLMを構築. autostsm Automatic Structural Time Series Models 自動構造時系列モデル.

autoTS Automatic Model Selection and Prediction for Univariate Time Series 単変量時系列のモデル自動選択と予測. AutoWeatherIndices Calculating Weather Indices 天気予報の指標を計算. av Working with Audio and Video in R オーディオとビデオの操作. available Check if the Title of a Package is Available, Appropriate and Interesting パッケージのタイトルが利用可能で、適切で興味深いかどうかを確認. avar Allan Variance アラン分散. averisk Calculation of Average Population Attributable Fractions and Confidence Intervals 平均人口寄与割合と信頼区間の計算.

AvInertia Calculate the Inertial Properties of a Flying Bird 飛ぶ鳥の慣性特性を計算. aVirtualTwins Adaptation of Virtual Twins Method from Jared Foster ジャレッド・フォスターから仮想ツインズ法の適応. avocado Weekly Hass Avocado Sales Summary 週刊ハスのアボカド販売まとめ. aweek Convert Dates to Arbitrary Week Definitions 日付を任意の週の定義に変換.

aweSOM Interactive Self-Organizing Maps インタラクティブな自己組織化マップ. aws Adaptive Weights Smoothing アダプティブウェイトスムージング. alexa Client for the Amazon Alexa Web Information Services API アマゾンのAlexa Web情報サービスAPIのクライアント. ec2metadata Get EC2 Instance Metadata EC2インスタンスメタデータの取得. ecx Communicating with AWS EC2 and ECS using AWS REST APIs AWS REST APIを使ったAWS EC2やECSとの通信.

iam AWS IAM Client Package AWS IAMクライアントパッケージ. lambda AWS Lambda Client Package AWS Lambdaクライアントパッケージ. polly Client for AWS Polly AWS Pollyのクライアント. signature Amazon Web Services Request Signatures アマゾンウェブサービス要求の署名.

AZIAD Analyzing Zero-Inflated and Zero-Altered Data ゼロインフレートデータとゼロオルタードデータの解析. aziztest Novel Statistical Test for Aberration Enrichment 収差濃縮のための新しい統計的検定. AzureAppInsights Include Azure Application Insights in Shiny Apps Shiny AppsにAzure Application Insightsを組み込む. AzureAuth Authentication Services for Azure Active Directory Azure Active Directory用の認証サービス.

AzureCognitive Interface to Azure Cognitive Services Azure Cognitive Servicesへのインターフェイス. AzureVision Interface to Azure Computer Vision Services Azure Computer Vision Servicesへのインターフェイス. AzureVMmetadata Interface to Azure Virtual Machine Instance Metadata Azure Virtual Machine Instance Metadataへのインターフェイス. babel Ribosome Profiling Data Analysis リボソームデータ分析プロファイリング. babelgene Gene Orthologs for Model Organisms in a Tidy Data Format モデル生物の遺伝子オルソログを整然としたデータ形式で提供. babynames US Baby Names 米国の赤ちゃんの名前年から年.

babynamesIL Israel Baby Names イスラエルの赤ちゃんの名前 BACCO Bayesian Analysis of Computer Code Output BACCO コンピュータコード出力のベイズ分析（BACCO）.

BACCT Bayesian Augmented Control for Clinical Trials 臨床試験のためのベイジアン拡張コントロール. backbone Extracts the Backbone from Graphs 重み付きグラフからバックボーンを抽出. backpipe Backward Pipe Right-to-Left Operator 下位パイプ演算子.

backports Reimplementations of Functions Introduced Since R backShift Learning Causal Cyclic Graphs from Unknown Shift Interventions 不明なシフト介入から因果巡回グラフを学びます. backtest Exploring Portfolio-Based Conjectures About Financial Instruments 金融商品に関するポートフォリオベースの推測を探ります. bacondecomp Goodman-Bacon Decomposition グッドマンベーコン分解. BACprior Choice of Omega in the BAC Algorithm 交絡のためのベイズ調整（BAC）アルゴリズムにおけるハイパオメガの選択. bacr Bayesian Adjustment for Confounding 交絡のためのベイズ調整.

badger Badge for R Package Rパッケージのバッジ. baffle Make Waffle Plots with Base Graphics Base Graphicsでワッフルプロットを作成. outliertrees Robust Explainable Outlier Detection Based on OutlierTree OutlierTreeに基づくロバストな説明可能な外れ値検出. baggr Bayesian Aggregate Treatment Effects ベイズ集計処理の効果. BAGofT A Binary Regression Adaptive Goodness-of-Fit Test BAGofT 二項回帰適応適合度検定（BAGofT）. baguette Efficient Model Functions for Bagging バギングのための効率的なモデル関数. bahc Filter Covariance and Correlation Matrices with Bootstrapped-Averaged Hierarchical Ansatz ブートストラップ平均階層仮説による共分散および相関行列のフィルター処理.

bain Bayes Factors for Informative Hypotheses 有益な仮説のためのベイズ因子. bakR Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets Nucleotide Recoding RNA Sequencingデータセットの解析と比較. BalanceCheck Balance Check for Multiple Covariates in Matched Observational Studies 一致した観察研究における複数の共変量のためのバランスチェック. BalancedSampling Balanced and Spatially Balanced Sampling バランスと空間的にバランスのとれたサンプリング. BALCONY Better ALignment CONsensus analYsis より良いアライメントの分析. Ball Statistical Inference and Sure Independence Screening via Ball Statistics 球統計による統計的推論と確かな独立のスクリーニング.

BallMapper The Ball Mapper Algorithm ボールマッパーアルゴリズム. bama High Dimensional Bayesian Mediation Analysis 高次元ベイジアン調停分析. BAMBI Bivariate Angular Mixture Models 二変量角型混合モデル.

bamboo Protein Secondary Structure Prediction Using the Bamboo Method バンブー法を用いたタンパク質の二次構造予測. bamdit Bayesian Meta-Analysis of Diagnostic Test Data 診断テストデータのベイジアンメタアナリシス. bamlss Bayesian Additive Models for Location, Scale, and Shape and Beyond 位置尺度および形状（およびそれを超える）のベイジアン加算モデル. BAMMtools Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees 系統樹上Macroevolutionaryダイナミクスの解析と可視化.

bamp Bayesian Age-Period-Cohort Modeling and Prediction ベイジアン年代コホートモデルと予測. bang Bayesian Analysis, No Gibbs ベイジアン分析、ギブス無し. bangladesh Provides Ready to Use Shapefiles for Geographical Map of Bangladesh バングラデシュの地形図をすぐに使えるシェイプファイルにする. bannerCommenter Make Banner Comments with a Consistent Format 一貫したフォーマットのバナーコメントを作成.

BANOVA Hierarchical Bayesian ANOVA Models 階層ベイズANOVAモデル. banter BioAcoustic eveNT classifiER 生物音響イベント分類器. banxicoR Download Data from the Bank of Mexico メキシコの銀行からのデータをダウンロード. bapred Batch Effect Removal and Addon Normalization in Phenotype Prediction using Gene Data （遺伝子データを用いて、表現型の予測で）バッチ効果の取り外し.

BAR Bayesian Adaptive Randomization ベイズ型適応的無作為化. BarBorGradient Function Minimum Approximator 関数最小近似. barcode Render Barcode Distribution Plots バーコード分布プロット. baRcodeR Label Creation for Tracking and Collecting Data from Biological Samples 生体サンプルからのデータのラベリング、トラッキング、および収集. BarcodingR Species Identification using DNA Barcodes DNAバーコードを使用して種の同定.

bardr Complete Works of William Shakespeare in Tidy Format ウィリアム・シェイクスピア全集の整理整頓. BARIS Access and Import Data from the French Open Data Portal French Open Data Portalからのデータへのアクセスとインポート. barplot3d Create 3D Barplots 3Dバープロットを作成. BART Bayesian Additive Regression Trees ベイジアン加算回帰木. bartBMA Bayesian Additive Regression Trees using Bayesian Model Averaging ベイジアンモデル平均化を使用したベイジアン加法回帰ツリー.

bartCause Causal Inference using Bayesian Additive Regression Trees ベイズ加法回帰木を用いた因果推論. bartcs Bayesian Additive Regression Trees for Confounder Selection 交絡因子選択のためのベイズ型加法回帰木. bartMachine Bayesian Additive Regression Trees ベイズ加法回帰木. bartMachineJARs bartMachine JARs bartMachineのJARファイル. BartMixVs Variable Selection Using Bayesian Additive Regression Trees ベイズ型加法回帰木による変数選択. baRulho Quantifying Habitat-Induced Acoustic Signal Degradation 生息地誘発音響信号劣化の定量化. Barycenter Regularized Wasserstein Distances and Barycenters ワッサースタイン重心.

BAS Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling ベイズ適応サンプリングを使用して、ベイズモデル平均化. basad Bayesian Variable Selection with Shrinking and Diffusing Priors 縮小したPriorを用いたベイジアン変数の選択.

base64enc Tools for base64 encoding base64エンコードのためのツール. base64url Fast and URL-Safe Base64 Encoder and Decoder 高速かつURLセーフのBase64エンコーダとデコーダ. baseballDBR Sabermetrics and Advanced Baseball Statistics サベメトリクスと上級野球統計. baseballr Acquiring and Analyzing Baseball Data 野球のデータの取得と解析. basecamb Utilities for Streamlined Data Import, Imputation and Modelling データのインポート、インピュテーション、モデリングを合理化するユーティリティー. basefun Infrastructure for Computing with Basis Functions 基底関数を持つコンピューティングのためのインフラストラクチャ.

baseline Baseline Correction of Spectra スペクトルのベースライン補正. basemaps Accessing Spatial Basemaps in R Rでの空間ベースマップへのアクセス. BaseSet Working with Sets the Tidy Way 整理整頓セットを使った作業. basetheme Themes for Base Graphics Plots 基本グラフィックスプロットのテーマ. basicMCMCplots Trace Plots, Density Plots and Chain Comparisons for MCMC Samples MCMCサンプルのトレースプロット、密度プロット、およびチェーン比較. basicspace Recovering a Basic Space from Issue Scales 問題のスケールから宇宙基本の回復. basifoR Retrieval and Processing of the Spanish National Forest Inventory スペイン国有林インベントリの検索と処理.

BASiNET Classification of RNA Sequences using Complex Network Theory 複雑なネットワーク理論を用いたmRNAおよびlncRNA配列の分類. BASiNETEntropy Classification of RNA Sequences using Complex Network and Information Theory 複雑ネットワークと情報理論によるRNA配列の分類.

BaSkePro Bayesian Model to Archaeological Faunal Skeletal Profiles ベイズモデルによる考古動物骨格プロファイルの作成. basket Basket Trial Analysis バスケットトライアル分析. BasketballAnalyzeR Analysis and Visualization of Basketball Data バスケットボールデータの分析と可視化. baskexact Exact Calculation of Basket Trial Operating Characteristics バスケットトライアルの動作特性の正確な計算. BASS Bayesian Adaptive Spline Surfaces ベイジアン適応スプライン曲面. bastah Big Data Statistical Analysis for High-Dimensional Models 高次元モデルのビッグデータ統計解析.

BAT Biodiversity Assessment Tools 生物多様性評価ツール. batata Managing Packages Removal and Installation パッケージの取り外しを管理. batch Batching Routines in Parallel and Passing Command-Line Arguments to R Rにコマンドライン引数を渡し、並列バッチ処理ルーチン.

BatchExperiments Statistical Experiments on Batch Computing Clusters バッチ·コンピューティング·クラスタの統計的実験. BatchGetSymbols Downloads and Organizes Financial Data for Multiple Tickers 複数ティッカーのための財務データのダウンロードと整理. BatchJobs Batch Computing with R Rでバッチ·コンピューティング. batchmeans Consistent Batch Means Estimation of Monte Carlo Standard Errors モンテカルロ標準誤差の一貫性のあるバッチ平均推定.

batchmix Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction バッチ補正を組み込んだ半教師付きベイズ混合モデル. batchscr Batch Script Helpers バッチスクリプトヘルパー. batchtma Batch Effect Adjustments バッチ効果の調整.

batchtools Tools for Computation on Batch Systems バッチシステムでの計算ツール. bate Computes Bias-Adjusted Treatment Effect バイアス調整された治療効果を計算. batman Convert Categorical Representations of Logicals to Actual Logicals 論理名のカテゴリ表現を実際の論理名に変換. batteryreduction An R Package for Data Reduction by Battery Reduction バッテリーの還元によるデータ削減のためのRパッケージ.

BAwiR Analysis of Basketball Data バスケットボールデータの分析. baycn Bayesian Inference for Causal Networks 因果ネットワークのベイジアン推論. bayefdr Bayesian Estimation and Optimisation of Expected False Discovery Rate ベイズ推定と期待誤発見率の最適化. bayes4psy User Friendly Bayesian Data Analysis for Psychology 心理学のためのユーザーフレンドリーなベイジアンデータ分析. bayesAB Fast Bayesian Methods for AB Testing ABテストの高速ベイズ法.

bayesammi Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model 加法主効果と乗法的相互作用モデルのベイズ推定. bayesanova Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models ベイジアン分散分析. BayesARIMAX Bayesian Estimation of ARIMAX Model ARIMAXモデルのベイズ推定. bayesassurance Bayesian Assurance Computation ベイズ保証計算. BayesBinMix Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions 多変量ベルヌーイ分布の混合ベイズ推定.

bayesbio Miscellaneous Functions for Bioinformatics and Bayesian Statistics バイオインフォマティクスとベイズ統計のためのその他の関数. BayesBP Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix バーンスタイン多項式適合率行列を使用したベイズ推定. bayesbr Beta Regression on a Bayesian Model ベイズモデルのベータ回帰.

BayesCACE Bayesian Model for CACE Analysis CACE分析のためのベイズモデル. BayesCombo Bayesian Evidence Combination ベイジアンエビデンスの組み合わせ. BayesComm Bayesian Community Ecology Analysis ベイズ群集生態学分析. bayescopulareg Bayesian Copula Regression ベイズコピュラ回帰. bayescount Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC MCMCを用いたFECRTデータとカウント分布のベイズ分析と電力計算.

BayesCR Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions スキュー正規分布のスケール混合の下で打ち切り回帰モデルのベイズ分析. bayesCT Simulation and Analysis of Adaptive Bayesian Clinical Trials 適応ベイズ臨床試験のシミュレーションと解析. bayesDccGarch Methods and Tools for Bayesian Dynamic Conditional Correlation GARCH 1,1 Model ベイジアン動的条件付き相関GARCHモデル. BayesDesign Bayesian Single-Arm Design with Survival Endpoints 生存率を指標としたベイズ型シングルアームデザイン.

BayesDissolution Bayesian Models for Dissolution Testing 溶出試験のためのベイズモデル. bayesdistreg Bayesian Distribution Regression ベイズ分布回帰. bayesDP Implementation of the Bayesian Discount Prior Approach for Clinical Trials ベイジアン割引事前機能のためのツール. BayesESS Determining Effective Sample Size 効果的なサンプルサイズの決定. BayesFactor Computation of Bayes Factors for Common Designs 一般的な設計のためのベイズ因子の計算. BayesFM Bayesian Inference for Factor Modeling 因子モデリングのためのベイズ推論. bayesforecast Bayesian Time Series Modeling with Stan Stanによるベイズ時系列モデリング.

bayesGAM Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo ハミルトニアンモンテカルロ法を用いた多変量応答一般化付加モデルの適合. bayesGARCH Bayesian Estimation of the GARCH 1,1 Model with Student-t Innovations スチューデント-TイノベーションとGARCH（1,1）モデルのベイズ推定.

BayesGOF Bayesian Modeling via Frequentist Goodness-of-Fit ベイジアンモデリング. BayesGPfit Fast Bayesian Gaussian Process Regression Fitting 高速ベイジアンガウス過程回帰フィッティング. BayesGWQS Bayesian Grouped Weighted Quantile Sum Regression ベイズグループ化された重み付き分位和回帰. bayesian Bindings for Bayesian TidyModels ベイジアンTidyModelsのバインディング. bayesianETAS Bayesian Estimation of the ETAS Model for Earthquake Occurrences 地震発生時のETASモデルのベイズ推定. Bayesiangammareg Bayesian Gamma Regression: Joint Mean and Shape Modeling ベイジアンガンマ回帰：結合平均および形状モデリング.

BayesianGLasso Bayesian Graphical Lasso ベイジアングラフィカルラッソ. BayesianLaterality Predict Brain Asymmetry Based on Handedness and Dichotic Listening ハンドレッド性と二分法リスニングに基づく脳の非対称性の予測.

BayesianMediationA Bayesian Mediation Analysis ベイズ型調停分析. BayesianNetwork Bayesian Network Modeling and Analysis ベイジアンネットワークのモデル化と解析. BayesianPower Sample Size and Power for Comparing Inequality Constrained Hypotheses 不等式制約付き仮説を比較するための標本サイズと検出力. BayesianReasoning Plot Positive and Negative Predictive Values for Medical Tests 医療テストの正と負の予測値をプロット.

Bayesiantreg Bayesian t Regression for Modeling Mean and Scale Parameters 平均値とスケールパラメータをモデル化するためのベイズ型t回帰. bayesImageS Bayesian Methods for Image Segmentation using a Potts Model ポッツモデルを用いたベイジアン画像分割手法. BayesLCA Bayesian Latent Class Analysis ベイズ潜在クラス分析. bayesLife Bayesian Projection of Life Expectancy 生命予期のベイジアン予測. bayeslincom Linear Combinations of Bayesian Posterior Samples ベイズの事後標本の線形組み合わせ. bayeslm Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors 任意事前を用いたガウス線形回帰の効率的サンプリング.

BayesLN Bayesian Inference for Log-Normal Data 対数正規データのベイズ推定. BayesLogit PolyaGamma Sampling ロジスティック回帰. bayesloglin Bayesian Analysis of Contingency Table Data 条件付き表データのベイジアン分析. bayeslongitudinal Adjust Longitudinal Regression Models Using Bayesian Methodology ベイジアン方法論を用いた縦回帰モデルの調整. BayesMallows Bayesian Preference Learning with the Mallows Rank Model マオウズランクモデルを用いたベイジアンプリファレンスの学習.

BayesMassBal Bayesian Data Reconciliation of Separation Processes 分離過程のベイズデータ照合. bayesmeta Bayesian Random-Effects Meta-Analysis and Meta-Regression ベイジアンランダム効果メタ解析. BayesMFSurv Bayesian Misclassified-Failure Survival Model ベイズの誤分類故障生存モデル.

bayesmix Bayesian Mixture Models with JAGS JAGSとベイズ混合モデル. BayesMixSurv Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification Lasso収束や階層化でワイブルハザードの加法混合を使用して、ベイズ混合サバイバルモデル. bayesmove Non-Parametric Bayesian Analyses of Animal Movement 動物運動の非パラメトリックベイズ分析. BayesMRA Bayesian Multi-Resolution Gaussian Process Approximations ベイズ多分解能ガウスプロセス近似法. bayesMRM Bayesian Multivariate Receptor Modeling ベイズ型多変量レセプターモデリング.

BayesMultiMode Testing and Detecting Multimodality using Bayesian Methods ベイズ法によるマルチモダリティのテストと検出. BayesMultMeta Bayesian Multivariate Meta-Analysis ベイズ型多変量メタアナリシス.

bayesnec A Bayesian No-Effect- Concentration NEC Algorithm ベイズ型無影響濃度 NEC アルゴリズム. BayesNetBP Bayesian Network Belief Propagation ベイジアンネットワークの信念伝播. BayesNSGP Bayesian Analysis of Non-Stationary Gaussian Process Models 非定常ガウス過程モデルのベイズ分析. BayesOrdDesign Bayesian Group Sequential Design for Ordinal Data 順序データのためのベイジアングループ順列設計. BayesPieceHazSelect Variable Selection in a Hierarchical Bayesian Model for a Hazard Function ハザード関数に対する階層的ベイジアンモデルの変数選択. BayesPiecewiseICAR Hierarchical Bayesian Model for a Hazard Function ハザード関数の階層ベイズモデル.

bayesplay The Bayes Factor Playground ベイズ因子のプレイグラウンド. bayesplot Plotting for Bayesian Models ベイジアンモデルのプロット. bayesPO Bayesian Inference for Presence-Only Data プレゼンス・オンリー・データに対するベイズ推論. bayesPop Probabilistic Population Projection 確率的集団投影.

BayesPostEst Generate Postestimation Quantities for Bayesian MCMC Estimation ベイジアンMCMC推定のための推定後量の生成. BayesPPD Bayesian Power Prior Design ベイズパワー事前設計. BayesProject Fast Projection Direction for Multivariate Changepoint Detection 多変量変化点検出のための高速投影方向. bayesQR Bayesian Quantile Regression ベイズ分位回帰. bayesreg Bayesian Regression Models with Global-Local Shrinkage Priors 連続収縮後のベイジアン回帰モデル.

Bayesrel Bayesian Reliability Estimation ベイズ信頼性推定. BayesReversePLLH Fits the Bayesian Piecewise Linear Log-Hazard Model ベイズの区分線形対数ハザードモデルに適合.

BayesRGMM Bayesian Robust Generalized Mixed Models for Longitudinal Data 縦断的データに対するベイズ型ロバスト一般化混合モデル. BayesRS Bayes Factors for Hierarchical Linear Models with Continuous Predictors 連続予測器を用いた階層的線形モデルのベイズ係数.

bayesrules Datasets and Supplemental Functions from Bayes Rules! Book ベイズルール書籍のデータセットと補助関数. bayess Bayesian Essentials with R Rでベイズエッセンシャル. BayesS5 Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening S5 スクリーニングによるショットガン確率的探索を用いたベイジアン変数の選択（S5）.

BayesSAE Bayesian Analysis of Small Area Estimation 小地域推定のベイズ分析. BayesSampling Bayes Linear Estimators for Finite Population 有限母集団のためのベイズ線形推定器.

BayesSenMC Different Models of Posterior Distributions of Adjusted Odds Ratio 調整後オッズ比の事後分布の異なるモデル. BayesSpec Bayesian Spectral Analysis Techniques ベイジアンスペクトル解析手法. BayesSPsurv Bayesian Spatial Split Population Survival Model ベイズ空間分割母集団生存モデル.

BayesSUR Bayesian Seemingly Unrelated Regression 一見無関係なベイジアン回帰. bayesSurv Bayesian Survival Regression with Flexible Error and Random Effects Distributions 柔軟なエラーとランダム効果分布とベイズ生存回帰. BayesSurvival Bayesian Survival Analysis for Right Censored Data 右打ち切りデータのベイズ生存解析. bayest Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models ベイズt検定.

bayestestR Understand and Describe Bayesian Models and Posterior Distributions ベイズモデルと事後分布の理解と説明. bayesTFR Bayesian Fertility Projection ベイジアン生殖能力予測. BayesTools Tools for Bayesian Analyses ベイズ解析のためのツール. BayesTree Bayesian Additive Regression Trees ベイズ加法回帰木. BayesTreePrior Bayesian Tree Prior Simulation ベイジアンツリー事前シミュレーション. BayesTwin Bayesian Analysis of Item-Level Twin Data アイテムレベルツインデータのベイズ解析. BayesVarSel Bayes Factors, Model Choice and Variable Selection in Linear Models 線形モデルにおけるベイズ因子、モデル選択および変数選択.

BayesX R Utilities Accompanying the Software Package BayesX ソフトウェアパッケージBayesXを伴うRユーティリティ. bayesZIB Bayesian Zero-Inflated Bernoulli Regression Model ベイズ型ゼロ・インフレーション・ベルヌーイ回帰モデル. bayfoxr Global Bayesian Foraminifera Core Top Calibration グローバルベイジアン有孔虫コアトップキャリブレーション. BayLum Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating 光学的に刺激されたルミネッセンスと放射性炭素年代測定を統合した年代ベイズモデル.

bayMDS Bayesian Multidimensional Scaling and Choice of Dimension ベイズ型多次元尺度法と次元の選択. baymedr Computation of Bayes Factors for Common Biomedical Designs 一般的な生物医学設計のためのベイズ因子の計算.

baystability Bayesian Stability Analysis of Genotype by Environment Interaction GEI 環境相互作用による遺伝子型のベイジアン安定性解析（GEI）. BAYSTAR On Bayesian Analysis of Threshold Autoregressive Models 閾値自己回帰モデルのベイズ分析（BAYSTAR）. baytrends Long Term Water Quality Trend Analysis 長期水質動向分析.

bazar Miscellaneous Basic Functions その他の基本機能. BB Solving and Optimizing Large-Scale Nonlinear Systems 大規模非線形システムの解決と最適化. BBcor Bayesian Bootstrapping Correlations ベイズブートストラップ相関. bbdetection Identification of Bull and Bear States of the Market 市場のブル・ベア状態の識別. BBEST Bayesian Estimation of Incoherent Neutron Scattering Backgrounds インコヒーレント中性子散乱の背景のベイズ推定.

BBI Benthic Biotic Indices Calculation from Composition Data 組成データからの生物学的指標の計算. bbknnR Perform Batch Balanced KNN in R RでバッチバランスKNNを実行. bbl Boltzmann Bayes Learner ボルツマンベイズ学習器. BBmisc Miscellaneous Helper Functions for B. Bischl B. bbmle Tools for General Maximum Likelihood Estimation 一般的な最尤推定のためのツール. bbotk Black-Box Optimization Toolkit ブラックボックス最適化ツールキット.

bbreg Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data 連続有界データの期待値最大化アルゴリズムによるベッセルおよびベータ回帰. bbricks Bayesian Methods and Graphical Model Structures for Statistical Modeling 統計モデリングのためのベイズ法とグラフィカルモデル構造.

bbsBayes Hierarchical Bayesian Analysis of North American BBS Data 北米掲示板データの階層的ベイズ分析. BBSSL Bayesian Bootstrap Spike-and-Slab LASSO ベイズのブートストラップ ・スパイク・アンド・スラブ LASSO. bbw Blocked Weighted Bootstrap ブロッキング加重ブートストラップ. bc3net Gene Regulatory Network Inference with Bc3net Bc3netによる遺伝子制御ネットワーク推論. BCA1SG Block Coordinate Ascent with One-Step Generalized Rosen Algorithm ワンステップ一般化Rosenアルゴリズムを使用したブロック座標上昇.

bcaboot Bias Corrected Bootstrap Confidence Intervals バイアスが修正されたブートストラップの信頼区間. BCBCSF Bias-Corrected Bayesian Classification with Selected Features 選択された特徴を持つバイアス補正後のベイジアン分類. BCC Calculation of Option Prices Based on a Universal Solution ユニバーサルソリューションに基づくオプション価格の計算.

bccp Bias Correction under Censoring Plan 検閲計画でのバイアス修正. BCDAG Bayesian Structure and Causal Learning of Gaussian Directed Graphs ガウス有向グラフのベイズ型構造と因果関係学習. bcdata Search and Retrieve Data from the BC Data Catalogue BCデータカタログからのデータの検索と取得. BCDating Business Cycle Dating and Plotting Tools ビジネスサイクル日付とプロットツール. BcDiag Diagnostics Plots for Bicluster Data Biclusterデータの診断プロット.

BCE Bayesian Composition Estimator: Estimating Sample Taxonomic Composition from Biomarker Data ベイズ組成推定：バイオマーカーデータからサンプル（分類学）の組成を推定. BCEA Bayesian Cost Effectiveness Analysis ベイジアンコスト効果分析. BCEE The Bayesian Causal Effect Estimation Algorithm ベイズ因果効果推定アルゴリズム. bcf Causal Inference for a Binary Treatment and Continuous Outcome using Bayesian Causal Forests ベイジアン因果の森林を用いた二値的治療と継続的転帰の因果推論.

bcfrailph Semiparametric Bivariate Correlated Frailty Model 半パラメトリック二変量相関フレイルティモデル. bcfrailphdv Bivariate Correlated Frailty Models with Varied Variances バリエーションの異なる二変量相関型脆弱性モデル. bcgam Bayesian Constrained Generalised Linear Models ベイズ拘束一般化線形モデル.

BCgee Bias-Corrected Estimates for Generalized Linear Models for Dependent Data 従属データの一般化線形モデルのバイアス補正された推定. BCHM Clinical Trial Calculation Based on BCHM Design BCHM設計に基づく臨床試験計算. Bchron Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling 放射性炭素年代測定、年齢の深さのモデリング、相対的な海面速度推定、およびノンパラメトリック相モデリング.

BClustLonG A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data 縦方向遺伝子発現データのクラスタリングのためのディリクレ過程混合モデル. bcmaps Map Layers and Spatial Utilities for British Columbia ブリティッシュコロンビア州の地図レイヤーと空間ユーティリティ. bcmixed Mixed Effect Model with the Box-Cox Transformation Box-Cox変換を使用した混合効果モデル.

bcp Bayesian Analysis of Change Point Problems 変化点問題のベイズ分析. bcpa Behavioral Change Point Analysis of Animal Movement 動物の動きの行動変化点分析. bcputility Wrapper for SQL Server bcp Utility SQL Server bcpユーティリティーのラッパー.

BCRA Breast Cancer Risk Assessment 乳癌リスク評価. bcrm Bayesian Continual Reassessment Method for Phase I Dose-Escalation Trials フェーズI用量漸増試験のためのベイジアン継続的な再評価法. bcROCsurface Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests 連続診断テストのROC表面を推定するバイアス補正方法.

BCSub A Bayesian Semiparametric Factor Analysis Model for Subtype Identification Clustering サブタイプの同定のためのベイジアンセミパラメトリック因子分析モデル（クラスタリング）. BCT Bayesian Context Trees for Discrete Time Series 離散時系列のためのベイズ文脈木. bcTSNE Projected t-SNE for Batch Correction バッチ補正のための予測t-SNE. bda Binned Data Analysis グループ化されたデータのための密度推定.

bdc Biodiversity Data Cleaning 生物多様性データクリーニング. bdchecks Biodiversity Data Checks 生物多様性データチェック. bdclean A User-Friendly Biodiversity Data Cleaning App for the Inexperienced R User 未経験のRユーザーのためのユーザーフレンドリーな生物多様性データクリーニングアプリ. bdDwC Darwinizer: Darwin Core DwC Field Names Standardization Darwinizer：Darwin Core（DwC）フィールド名標準化.

bde Bounded Density Estimation 有界密度推定. BDEsize Efficient Determination of Sample Size in Balanced Design of Experiments 実験のバランスのとれた設計におけるサンプルサイズの効率的な決定. Their exchange values versus each other are also sometimes offered, e. Charts will play an essential role in your technical analysis and opportunity identification.

Your preferred time frame will depend on the chosen forex trading strategy. Traders can essentially zoom into a chart, reducing the time step along the chart. Typical charts range from 1 minute to 8 hours, with 5-minute, minute or 4-hour time frames in between. In fact, the right chart will paint a picture of where the price might be heading going forwards. For example, day trading forex with intraday candlestick price patterns is particularly popular. Any effective forex strategy will need to focus on two key factors, liquidity and volatility.

These are two of the best indicators for any forex trader, but the short-term trader is particularly reliant on them. Intraday trading with forex is very specific. This is because those 12 pips could be the entirety of the anticipated profit on the trade. Precision in forex trading comes from the trader, but liquidity is also important. As a result, this limits day traders to specific trading instruments and times. Volatility is the size of markets movements. So, firm volatility for a trader will reduce the selection of instruments to the currency pairs, dependant on the sessions.

As volatility is session dependent, it also brings us to an important component outlined below — when to trade. Trading forex at weekends will see small volume. Despite that, not every market actively trades all currencies.

As a result, different forex pairs are actively traded at differing times of the day. For example, when the UK and Europe are opening, pairs consisting of the euro and pound are alight with trading activity. However, when the New York Stock Exchange, NYC, is active, pairs that involve the US dollar and Canadian dollar are actively traded. Utilise forex daily charts and graphs to see major market hours in your own timezone. The below image highlights opening hours of markets and end of session times for London, New York, Sydney and Tokyo.

Crossover periods represent the sessions with most activity, volume and price action, when forex trading is most profitable. There are only two days in the calendar year with no forex trading hours: Xmas and New Year. The markets are completely closed on these days, whether they are weekdays or not. One of the most important steps for beginners is choosing a forex broker. The online brokerage you sign up with will be your gateway to the market, providing you with the platforms, apps and tools needed to analyze currency pairs and execute trades.

But with so many brands out there, where do you start? Think about the pairs you wants to trade, spreads, commissions and non-trading fees, leverage rates, access to customer support, regulatory oversight, and the availability of beginner-friendly tools, such as copy trading. Regulation should also be an important consideration. Whether the regulator is inside, or outside, of Europe is going to have serious consequences on your forex trading. ESMA the European Securities and Markets Authority have imposed strict rules on forex firms regulated in Europe.

This includes the following regulators:. ESMA have jurisdiction over all regulators within the EEA. The rules include caps or limits on leverage that vary between financial products. Forex leverage is capped at or x Outside of Europe, leverage can reach x or even higher.

Traders in Europe can apply for Professional status. This removes any regulatory protection, and allows platforms to offer higher levels of leverage among other things. These cover the bulk of countries outside Europe. Forex brokers catering for India, Hong Kong, Qatar etc are likely to have regulation in one of the above, rather than every country they support.

Some brands are regulated across the globe one is even regulated in 5 continents. Some bodies issue licenses, and others have a register of legal firms. An easy way to check for regulation is to look for a disclaimer stating the percentage of losing traders, as this is required by many regulators. You can also check the small print at the bottom of a website as this usually contains regulation information.

Our reviews have already filtered out the scams, but if you are considering a different forex trading brand, avoid getting caught out by thinking about these questions to ask yourself;. Forex alerts or signals are delivered in an assortment of ways. Whatever the mechanism the aim is the same, to trigger trades as soon as certain criteria are met.

Our charting and patterns guides will cover these themes in more detail and are a great starting point. Paying for signal services, without understanding the technical analysis driving them, is high risk.

Traders who understand indicators such as Bollinger bands or MACD will be more than capable of setting up their own alerts. But for the time poor, a paid service might prove fruitful.

You would, of course, need enough time to actually place the trades, and you need to be confident in the supplier. Some signal providers, such as the Forex Lines 7 and Trading System , need no download, instead integrating directly with the MT4 trading platform. It is unlikely that someone with a profitable signal strategy is willing to share it cheaply or at all.

Beware of any promises that seem too good to be true. You can read more about automated forex trading. If you download a pdf with forex trading strategies, this will probably be one of the first you see. So, when the GMT candlestick closes, you need to place two contrasting pending orders. Firstly, place a buy stop order 2 pips above the high.

Then place a sell stop order 2 pips below the low of the candlestick. This will help you keep a handle on your trading risk. Now set your profit target at 50 pips. At this point, you can kick back and relax whilst the market gets to work. If the trade reaches or exceeds the profit target by the end of the day then all has gone to plan and you can repeat the next day. However, if the trade has a floating loss, wait until the end of the day before exiting the trade.

Most forex trading platforms come with the simple moving average chart tool, which adds lines that follows the average price over given numbers of time periods, the smaller the time-period the shorter-term averages it follows. This strategy follows the interaction of three moving averages, normally set at around 15 periods, 30 periods and periods. The SMA represents the main trade, and all trades should be made in this direction.

The signals for a buy trade are that the price is above the SMA, both the 15 and 30 SMAs are above the SMA and the 15 SMA has crossed to above the 30 SMA. Trades should be closed when the price closes below the 30 SMA.

For a sell trade, the conditions are completely reversed, with the lines stacked upside down and the price below the SMA. This system can be used with 4hr charts, though the strategy can be modified for shorter time frames with exponential moving averages EMA , called the MACD 3-line system, which put more emphasis on the more recent price movements. There are a myriad of other trading strategies and systems online, each with their own pdf guides, success rates and time frames.

Many systems have indicators that can be downloaded and installed onto trading platforms, such as the 1-minute scalping, the 4-hour RSI forex trading strategy, the slingshot 30m strategy and System 9 6 Winners. Other powerful strategies use statistical analysis, for example z-score systems. For more detailed examples of top forex trading strategies, see our strategies guide on intraday trading techniques.

There is a massive choice of software for forex traders. Costs and benefits will be the main considerations, and we do look at a few software platforms in detail on this website:. These platforms cater for Mac or Windows users, and there are even specific applications for Linux. Social trading or copy trading platforms are another variety of software associated with forex trading.

The leading pioneers of that kind of service are:. Many forex trading platforms have app versions that can be downloaded to Apple ipa and Android apk devices. Top apps, like MetaTrader 4, retain the majority of the capability of the desktop version. We list more options and details on the forex trading platforms page and on our software guide.

For beginners, finding the best platform usually results in an intuitive, easy-to-use platform that is well-regarded. If you want to increase that forex day trading salary, you will also need to utilize a range of educational resources to gain more advanced forex knowledge, allowing new trading possibilities to be unlocked.

The most profitable forex strategy will require an effective money management system. Then once you have developed a consistent strategy, you can increase your risk parameters.

The Kelly Criterion is a specific staking plan worth researching. Automated forex trades could enhance your returns if you have developed a consistently effective strategy. This is because instead of manually entering a trade, an algorithm or bot, such as the Net89, will automatically enter and exit positions once pre-determined criteria have been met.

In addition, there is often no minimum account balance required to set up an automated system. Though some forex trading bots can be profitable, there are lots of ineffective products out there and markets are complex so no robot will work all the time. However, those looking at how to start trading from home should probably wait until they have honed an effective strategy first.

In fact, it is vital you check your local rules and regulations as forex trading will often be taxed. Traders in the US will receive forms from their brokerages if they make enough money through trading. Failure to understand local tax laws could lead to legal issues.

They are the perfect place to go for help from experienced traders. This is because forex webinars can walk you through setups, price action analysis, plus the best signals and charts for your strategy. In fact, in many ways, webinars are the best place to go for a direct guide on currency day trading basics. Most top brands offer webinars on their website.

A footnote in Microsoft's submission opens in new tab to the UK's Competition and Markets Authority CMA has let slip the reason behind Call of Duty's absence from the Xbox Game Pass library: Sony and Activision Blizzard have a deal that restricts the games' presence on the service. The footnote appears in a section detailing the potential benefits to consumers from Microsoft's point of view of the Activision Blizzard catalogue coming to Game Pass.

What existing contractual obligations are those? Why, ones like the "agreement between Activision Blizzard and Sony," that places "restrictions on the ability of Activision Blizzard to place COD titles on Game Pass for a number of years". It was apparently these kinds of agreements that Xbox's Phil Spencer had in mind opens in new tab when he spoke to Sony bosses in January and confirmed Microsoft's "intent to honor all existing agreements upon acquisition of Activision Blizzard".

Unfortunately, the footnote ends there, so there's not much in the way of detail about what these restrictions are or how long they'd remain in effect in a potential post-acquisition world. Given COD's continued non-appearance on Game Pass, you've got to imagine the restrictions are fairly significant if they're not an outright block on COD coming to the service.

Either way, the simple fact that Microsoft is apparently willing to maintain any restrictions on its own ability to put first-party games on Game Pass is rather remarkable, given that making Game Pass more appealing is one of the reasons for its acquisition spree. The irony of Sony making deals like this one while fretting about COD's future on PlayStation probably isn't lost on Microsoft's lawyers, which is no doubt part of why they brought it up to the CMA.

While it's absolutely reasonable to worry about a world in which more and more properties are concentrated in the hands of singular, giant megacorps, it does look a bit odd if you're complaining about losing access to games while stopping them from joining competing services. We'll find out if the CMA agrees when it completes its in-depth, "Phase 2" investigation opens in new tab into the Activision Blizzard acquisition, which is some way off yet.

For now, we'll have to content ourselves with poring over these kinds of corporate submissions for more interesting tidbits like this one. So far, we've already learned that Microsoft privately has a gloomy forecast for the future of cloud gaming opens in new tab , and that the company thinks Sony shouldn't worry so much since, hey, future COD games might be as underwhelming as Vanguard opens in new tab.

Who knows what we'll learn next? Sign up to get the best content of the week, and great gaming deals, as picked by the editors. One of Josh's first memories is of playing Quake 2 on the family computer when he was much too young to be doing that, and he's been irreparably game-brained ever since. His writing has been featured in Vice, Fanbyte, and the Financial Times.

He'll play pretty much anything, and has written far too much on everything from visual novels to Assassin's Creed. His most profound loves are for CRPGs, immersive sims, and any game whose ambition outstrips its budget. He thinks you're all far too mean about Deus Ex: Invisible War.

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Joshua Wolens. See comments.

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