All packages

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bayesDP — 1.3.6

Implementation of the Bayesian Discount Prior Approach for Clinical Trials

bayesEO — 0.2.1

Bayesian Smoothing of Remote Sensing Image Classification

BayesESS — 0.1.19

Determining Effective Sample Size

BayesFactor — 0.9.12-4.7

Computation of Bayes Factors for Common Designs

BayesFBHborrow — 2.0.2

Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function

BayesFluxR — 0.1.3

Implementation of Bayesian Neural Networks

BayesFM — 0.1.7

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

BayesGP — 0.1.3

Efficient Implementation of Gaussian Process in Bayesian Hierarchical Models

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 — 1.0.1

Bindings for Bayesian TidyModels

bayesianETAS — 1.0.3

Bayesian Estimation of the ETAS Model for Earthquake Occurrences

BayesianFactorZoo — 0.0.0.3

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

BayesianMCPMod — 1.0.1

Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod

BayesianMediationA — 1.0.1

Bayesian Mediation Analysis

BayesianNetwork — 0.3.2

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 — 0.1.5

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 — 2.2.2

Bayesian Preference Learning with the Mallows Rank Model

bayesMeanScale — 0.1.4

Bayesian Post-Estimation on the Mean Scale

bayesmeta — 3.4

Bayesian Random-Effects Meta-Analysis and Meta-Regression

BayesMFSurv — 0.1.0

Bayesian Misclassified-Failure Survival Model

bayesMig — 1.0-0

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 — 0.2.4

Bayesian Mortality Modelling

bayesmove — 0.2.1

Non-Parametric Bayesian Analyses of Animal Movement

bayesMRM — 2.4.0

Bayesian Multivariate Receptor Modeling

BayesMultiMode — 0.7.3

Bayesian Mode Inference

BayesMultMeta — 0.1.1

Bayesian Multivariate Meta-Analysis

bayesnec — 2.1.3.0

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

BayesOrdDesign — 0.1.2

Bayesian Group Sequential Design for Ordinal Data

BayesPieceHazSelect — 1.1.0

Variable Selection in a Hierarchical Bayesian Model for a Hazard Function

bayesplay — 0.9.3

The Bayes Factor Playground

bayesplot — 1.11.1

Plotting for Bayesian Models

bayespm — 0.2.0

Bayesian Statistical Process Monitoring

bayesPO — 0.5.0

Bayesian Inference for Presence-Only Data

bayesPop — 10.0-1

Probabilistic Population Projection

BayesPostEst — 0.3.2

Generate Postestimation Quantities for Bayesian MCMC Estimation

BayesPPD — 1.1.2

Bayesian Power Prior Design

BayesPPDSurv — 1.0.3

Bayesian Power Prior Design for Survival Data

BayesProject — 1.0

Fast Projection Direction for Multivariate Changepoint Detection

bayesQR — 2.4

Bayesian Quantile Regression

bayesRecon — 0.3.2

Probabilistic Reconciliation via Conditioning

bayesreg — 1.3

Bayesian Regression Models with Global-Local Shrinkage Priors

Bayesrel — 0.7.7

Bayesian Reliability Estimation

BayesRep — 0.42.2

Bayesian Analysis of Replication Studies

BayesRepDesign — 0.42

Bayesian Design of Replication Studies

BayesReversePLLH — 1.5

Fits the Bayesian Piecewise Linear Log-Hazard Model

BayesRGMM — 2.2

Bayesian Robust Generalized Mixed Models for Longitudinal Data

bayesROE — 0.2

Bayesian Regions of Evidence

BayesRS — 0.1.3

Bayes Factors for Hierarchical Linear Models with Continuous Predictors

bayesrules — 0.0.2

Datasets and Supplemental Functions from Bayes Rules! Book

bayess — 1.6

Bayesian Essentials with R

BayesS5 — 1.41

Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5)

BayesSampling — 1.1.0

Bayes Linear Estimators for Finite Population

BayesSenMC — 0.1.5

Different Models of Posterior Distributions of Adjusted Odds Ratio

BayesSUR — 2.2-1

Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings

bayesSurv — 3.8

Bayesian Survival Regression with Flexible Error and Random Effects Distributions

BayesSurvival — 0.2.0

Bayesian Survival Analysis for Right Censored Data

BayesSurvive — 0.0.2

Bayesian Survival Models for High-Dimensional Data

bayest — 1.5

Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models

bayestestR — 0.15.0

Understand and Describe Bayesian Models and Posterior Distributions

bayesTFR — 7.4-4

Bayesian Fertility Projection

BayesTools — 0.2.17

Tools for Bayesian Analyses

BayesTree — 0.3-1.5

Bayesian Additive Regression Trees

BayesTreePrior — 1.0.1

Bayesian Tree Prior Simulation

BayesTwin — 1.0

Bayesian Analysis of Item-Level Twin Data

BayesVarSel — 2.2.5

Bayes Factors, Model Choice and Variable Selection in Linear Models

bayesvl — 0.8.5

Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'

bayesWatch — 0.1.3

Bayesian Change-Point Detection for Process Monitoring with Fault Detection

BayesX — 0.3-3

R Utilities Accompanying the Software Package BayesX

BayesXsrc — 3.0-5

Distribution of the 'BayesX' C++ Sources

bayesZIB — 0.0.5

Bayesian Zero-Inflated Bernoulli Regression Model

bayfoxr — 0.0.1

Global Bayesian Foraminifera Core Top Calibration

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