rPackages

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

Bayesian Cluster Validity Index

Functions and Datasets for the book "Bayesian Data Analysis"

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

Bayesian Single-Arm Design with Survival Endpoints

Bayesian Dynamic Factor Analysis (DFA) with 'Stan'

Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials

Bayesian Models for Dissolution Testing

Bayesian Distribution Regression

Statistical Analysis for Task-Based Fmri Data

Implementation of the Bayesian Discount Prior Approach for Clinical Trials

Bayesian Smoothing of Remote Sensing Image Classification

Determining Effective Sample Size

Computation of Bayes Factors for Common Designs

Implementation of Bayesian Neural Networks

Bayesian Inference for Factor Modeling

Spatial Bayesian Methods for Task Functional MRI Studies

Bayesian Time Series Modeling with Stan

Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo

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

Bayesian Causal Mediation Analysis using 'Stan'

Bayesian Modeling via Frequentist Goodness-of-Fit

Fast Bayesian Gaussian Process Regression Fitting

Estimate Fish Growth Using MCMC Analysis

Bayesian Grouped Weighted Quantile Sum Regression

Bindings for Bayesian TidyModels

Bayesian Estimation of the ETAS Model for Earthquake Occurrences

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

Bayesian Gamma Regression: Joint Mean and Shape Modeling

Bayesian Graphical Lasso

Predict Brain Asymmetry Based on Handedness and Dichotic Listening

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

Bayesian Mediation Analysis

Bayesian Network Modeling and Analysis

Simulate and Analyse Bayesian Platform Trial with Time Trend

Sample Size and Power for Comparing Inequality Constrained Hypotheses

Plot Positive and Negative Predictive Values for Medical Tests

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

Bayesian t Regression for Modeling Mean and Scale Parameters

Bayesian Methods for Image Segmentation using a Potts Model

Bayesian Latent Class Analysis

Bayesian Projection of Life Expectancy

Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

Bayesian Inference for Log-Normal Data

PolyaGamma Sampling

Adjust Longitudinal Regression Models Using Bayesian Methodology

Bayesian Inference for Marketing/Micro-Econometrics

Bayesian Preference Learning with the Mallows Rank Model

Bayesian Data Reconciliation of Separation Processes

Bayesian Post-Estimation on the Mean Scale

Bayesian Random-Effects Meta-Analysis and Meta-Regression

Bayesian Misclassified-Failure Survival Model

Bayesian Projection of Migration

Bayesian Mixture Models with JAGS

Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage a…

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

Bayesian Mortality Modelling

Non-Parametric Bayesian Analyses of Animal Movement

Bayesian Multivariate Receptor Modeling

Bayesian Mode Inference

Bayesian Multivariate Meta-Analysis

A Bayesian No-Effect- Concentration (NEC) Algorithm

Bayesian Network Belief Propagation

Bayesian Analysis of Non-Stationary Gaussian Process Models

Bayesian Group Sequential Design for Ordinal Data

Variable Selection in a Hierarchical Bayesian Model for a Hazard Function

The Bayes Factor Playground

Plotting for Bayesian Models

Bayesian Statistical Process Monitoring

Bayesian Inference for Presence-Only Data

Probabilistic Population Projection

Generate Postestimation Quantities for Bayesian MCMC Estimation

Bayesian Power Prior Design

Bayesian Power Prior Design for Survival Data

Fast Projection Direction for Multivariate Changepoint Detection

Bayesian Quantile Regression

Probabilistic Reconciliation via Conditioning

Bayesian Regression Models with Global-Local Shrinkage Priors

Bayesian Reliability Estimation

Bayesian Analysis of Replication Studies

Bayesian Design of Replication Studies

Fits the Bayesian Piecewise Linear Log-Hazard Model

Bayesian Robust Generalized Mixed Models for Longitudinal Data

Bayesian Regions of Evidence

Bayes Factors for Hierarchical Linear Models with Continuous Predictors

Datasets and Supplemental Functions from Bayes Rules!