All packages

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batch — 1.1-5

Batching Routines in Parallel and Passing Command-Line Arguments to R

BatchExperiments — 1.4.3

Statistical Experiments on Batch Computing Clusters

BatchGetSymbols — 2.6.4

Downloads and Organizes Financial Data for Multiple Tickers

BatchJobs — 1.9

Batch Computing with R

batchmeans — 1.0-4

Consistent Batch Means Estimation of Monte Carlo Standard Errors

batchmix — 2.1.0

Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction

batchscr — 0.1.0

Batch Script Helpers

batchtma — 0.1.6

Batch Effect Adjustments

batchtools — 0.9.17

Tools for Computation on Batch Systems

bate — 0.1.0

Computes Bias-Adjusted Treatment Effect

batman — 0.1.0

Convert Categorical Representations of Logicals to Actual Logicals

batsch — 0.1.0

Real-Time PCR Data Sets by Batsch et al. (2008)

batteryreduction — 0.1.1

An R Package for Data Reduction by Battery Reduction

BAwiR — 1.3.2

Analysis of Basketball Data

bayclumpr — 0.1.0

Bayesian Analysis of Clumped Isotope Datasets

baycn — 1.2.0

Bayesian Inference for Causal Networks

bayefdr — 0.2.1

Bayesian Estimation and Optimisation of Expected False Discovery Rate

Bayenet — 0.1

Bayesian Quantile Elastic Net for Genetic Study

bayes4psy — 1.2.12

User Friendly Bayesian Data Analysis for Psychology

bayesAB — 1.1.3

Fast Bayesian Methods for AB Testing

bayesammi — 0.1.0

Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model

bayesanova — 1.6

Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models

BayesARIMAX — 0.1.1

Bayesian Estimation of ARIMAX Model

bayesassurance — 0.1.0

Bayesian Assurance Computation

BayesBEKK — 0.1.1

Bayesian Estimation of Bivariate Volatility Model

BayesBinMix — 1.4.1

Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions

bayesbio — 1.0.0

Miscellaneous Functions for Bioinformatics and Bayesian Statistics

bayesboot — 0.2.2

An Implementation of Rubin's (1981) Bayesian Bootstrap

BayesBP — 1.1

Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix

bayesbr — 0.0.1.0

Beta Regression on a Bayesian Model

BayesCACE — 1.2.3

Bayesian Model for CACE Analysis

BayesCombo — 1.0

Bayesian Evidence Combination

BayesComm — 0.1-2

Bayesian Community Ecology Analysis

bayescopulareg — 0.1.3

Bayesian Copula Regression

bayescount — 0.9.99-9

Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC

BayesCR — 2.1

Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions

bayesCT — 0.99.3

Simulation and Analysis of Adaptive Bayesian Clinical Trials

BayesCTDesign — 0.6.1

Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data

BayesCVI — 1.0.0

Bayesian Cluster Validity Index

BayesDA — 2012.04-1

Functions and Datasets for the book "Bayesian Data Analysis"

bayesDccGarch — 3.0.4

Methods and Tools for Bayesian Dynamic Conditional Correlation GARCH(1,1) Model

BayesDesign — 0.1.1

Bayesian Single-Arm Design with Survival Endpoints

bayesdfa — 1.3.3

Bayesian Dynamic Factor Analysis (DFA) with 'Stan'

BayesDIP — 0.1.1

Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials

BayesDissolution — 0.2.0

Bayesian Models for Dissolution Testing

bayesdistreg — 0.1.0

Bayesian Distribution Regression

BayesDLMfMRI — 0.0.3

Statistical Analysis for Task-Based Fmri Data

bayesDP — 1.3.6

Implementation of the Bayesian Discount Prior Approach for Clinical Trials

BayesESS — 0.1.19

Determining Effective Sample Size

BayesFactor — 0.9.12-4.7

Computation of Bayes Factors for Common Designs

BayesFBHborrow — 1.0.1

Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function

BayesFluxR — 0.1.3

Implementation of Bayesian Neural Networks

BayesFM — 0.1.5

Bayesian Inference for Factor Modeling

BayesfMRI — 0.3.11

Spatial Bayesian Methods for Task Functional MRI Studies

bayesforecast — 1.0.1

Bayesian Time Series Modeling with Stan

bayesGAM — 0.0.2

Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo

bayesGARCH — 2.1.10

Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations

BayesGmed — 0.0.3

Bayesian Causal Mediation Analysis using 'Stan'

BayesGOF — 5.2

Bayesian Modeling via Frequentist Goodness-of-Fit

BayesGPfit — 1.1.0

Fast Bayesian Gaussian Process Regression Fitting

BayesGrowth — 1.0.0

Estimate Fish Growth Using MCMC Analysis

BayesGWQS — 0.1.1

Bayesian Grouped Weighted Quantile Sum Regression

bayesian — 0.0.9

Bindings for Bayesian TidyModels

bayesianETAS — 1.0.3

Bayesian Estimation of the ETAS Model for Earthquake Occurrences

BayesianFactorZoo — 0.0.0.2

Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models

Bayesiangammareg — 0.1.0

Bayesian Gamma Regression: Joint Mean and Shape Modeling

BayesianGLasso — 0.2.0

Bayesian Graphical Lasso

BayesianLaterality — 0.1.2

Predict Brain Asymmetry Based on Handedness and Dichotic Listening

BayesianMediationA — 1.0.1

Bayesian Mediation Analysis

BayesianNetwork — 0.3

Bayesian Network Modeling and Analysis

BayesianPlatformDesignTimeTrend — 1.2.3

Simulate and Analyse Bayesian Platform Trial with Time Trend

BayesianPower — 0.2.3

Sample Size and Power for Comparing Inequality Constrained Hypotheses

BayesianReasoning — 0.4.2

Plot Positive and Negative Predictive Values for Medical Tests

BayesianTools — 0.1.8

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Bayesiantreg — 1.0.1

Bayesian t Regression for Modeling Mean and Scale Parameters

bayesianVARs — 0.1.2

MCMC Estimation of Bayesian Vectorautoregressions

bayesImageS — 0.6-1

Bayesian Methods for Image Segmentation using a Potts Model

BayesLCA — 1.9

Bayesian Latent Class Analysis

bayesLife — 5.2-0

Bayesian Projection of Life Expectancy

bayeslm — 1.0.1

Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

BayesLN — 0.2.10

Bayesian Inference for Log-Normal Data

BayesLogit — 2.1

PolyaGamma Sampling

bayeslongitudinal — 0.1.0

Adjust Longitudinal Regression Models Using Bayesian Methodology

bayesm — 3.1-6

Bayesian Inference for Marketing/Micro-Econometrics

BayesMallows — 2.1.1

Bayesian Preference Learning with the Mallows Rank Model

BayesMassBal — 1.1.0

Bayesian Data Reconciliation of Separation Processes

bayesmeta — 3.4

Bayesian Random-Effects Meta-Analysis and Meta-Regression

BayesMFSurv — 0.1.0

Bayesian Misclassified-Failure Survival Model

bayesMig — 0.4-6

Bayesian Projection of Migration

bayesmix — 0.7-6

Bayesian Mixture Models with JAGS

BayesMixSurv — 0.9.1

Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification

bayesmlogit — 1.0.1

A Multistate Life Table (MSLT) Methodology Based on Bayesian Approach

BayesMortalityPlus — 0.2.3

Bayesian Mortality Modelling

bayesmove — 0.2.1

Non-Parametric Bayesian Analyses of Animal Movement

bayesMRM — 2.4.0

Bayesian Multivariate Receptor Modeling

BayesMultiMode — 0.7.1

Bayesian Mode Inference

BayesMultMeta — 0.1.1

Bayesian Multivariate Meta-Analysis

bayesnec — 2.1.2.0

A Bayesian No-Effect- Concentration (NEC) Algorithm

BayesNetBP — 1.6.1

Bayesian Network Belief Propagation

BayesNSGP — 0.1.2

Bayesian Analysis of Non-Stationary Gaussian Process Models

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