Tools for Approximate Bayesian Computation (ABC)
Approximate Bayesian Computation via Random Forests
Adaptive Bayesian Graphical Lasso
Bayesian A/B Testing
Optimal Bayesian Experimental Design using the ACE Algorithm
Bayesian Quantile Regression
Adaptive Mixture of Student-t Distributions
Bayesian Estimation of ARIMAX Model
Bayesian Model for CACE Analysis
Bayesian Evidence Combination
Bayesian Community Ecology Analysis
Bayesian Estimation of the Additive Main Effects and Multiplicative In...
Bayesian Inference in the Analysis of Variance via Markov Chain Monte ...
Bayesian Ammi Model for Continuous Data
Analysis of Codon Data under Stationarity using a Bayesian Framework
Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel
Multiple Testing Approach using Average Power Function (APF) and Bayes...
Data Analysis Using Regression and Multilevel/Hierarchical Models
Methods for Adaptive Shrinkage, using Empirical Bayes
Bayesian Inference for Causal Networks
Bayesian Estimation and Optimisation of Expected False Discovery Rate
Bayesian Estimation of Mixtures of Multivariate Bernoulli Distribution...
Miscellaneous Functions for Bioinformatics and Bayesian Statistics
An Implementation of Rubin's (1981) Bayesian Bootstrap
Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Bayesian Analysis of Computer Code Output (BACCO)
Bayesian Augmented Control for Clinical Trials
Bayesian Aggregate Treatment Effects
Fast Bayesian Methods for AB Testing
Functions and Datasets for "Bayesian Methods: A Social and Behavioral ...
Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Hierarchical Bayesian ANOVA Models
Bayesian Additive Regression Trees
Bayesian Variable Selection with Shrinking and Diffusing Priors
Bayesian Additive Regression Trees
Trace Plots, Density Plots and Chain Comparisons for MCMC Samples
Bayesian Model to Archaeological Faunal Skeletal Profiles
Bayesian Copula Regression
Power Calculations and Bayesian Analysis of Count Distributions and FE...
Bayesian Analysis of Censored Regression Models Under Scale Mixture of...
Simulation and Analysis of Adaptive Bayesian Clinical Trials
Two Arm Bayesian Clinical Trial Design with and Without Historical Con...
Functions and Datasets for the book "Bayesian Data Analysis"
Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Bayesian Distribution Regression
Implementation of the Bayesian Discount Prior Approach for Clinical Tr...
Computation of Bayes Factors for Common Designs
Fit Multivariate Response Generalized Additive Models using Hamiltonia...
Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
Bayesian Modeling via Frequentist Goodness-of-Fit
Fast Bayesian Gaussian Process Regression Fitting
Bayesian Grouped Weighted Quantile Sum Regression
Bayesian Estimation of the ETAS Model for Earthquake Occurrences
Bayesian Gamma Regression: Joint Mean and Shape Modeling
Bayesian Graphical Lasso
Predict Brain Asymmetry Based on Handedness and Dichotic Listening
Inferring Causal Effects using Bayesian Structural Time-Series Models
General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistic...
Bayesian Methods for Image Segmentation using a Potts Model
Bayesian Latent Class Analysis
Bayesian Projection of Life Expectancy
Bayesian Inference for Log-Normal Data
PolyaGamma Sampling
Adjust Longitudinal Regression Models Using Bayesian Methodology
Bayesian Inference for Marketing/Micro-Econometrics
Bayesian Random-Effects Meta-Analysis and Meta-Regression
Bayesian Mixture Models with JAGS
Plotting for Bayesian Models
Bayesian Additive Regression Trees
Bayes Factors, Model Choice and Variable Selection in Linear Models
R Utilities Accompanying the Software Package BayesX
On Bayesian Analysis of Threshold Autoregressive Models
Bias-Corrected Bayesian Classification with Selected Features
Bayesian Linear Regression
Bayesian Model Averaging
Bayesian Estimation for Finite Mixture of Distributions
Bayesian Model Averaging Library
Bayesian Non- And Semi-Parametric Model Fitting
Bayesian Output Analysis Program (BOA) for MCMC
Functions for Elementary Bayesian Inference
Bayesian Object Oriented Modeling
MCMC for Spike and Slab Regression
Bayesian QTL Mapping Toolkit
Bridge Sampling for Marginal Likelihoods and Bayes Factors
Bayesian Spectral Inference
Bayesian Semiparametric Models for Meta-Analysis
Hierarchical Bayesian Vector Autoregression
Spatial Generalised Linear Mixed Models for Areal Unit Data
Data Used in the Vignettes Accompanying the CARBayes and CARBayesST Pa...
Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Spatial and Spatio-Temporal Bayesian Model for Circular Data
MCMC Algorithms for the Coalescent
Output Analysis and Diagnostics for MCMC
Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associatio...
Data Cloning and MCMC Tools for Maximum Likelihood Methods
Bayesian Inference for Differential Equations
Density Estimation via Bayesian Inference Engines
Bayesian Clustering of Multivariate Data Under the Dirichlet-Process P...
Bayesian and Likelihood Analysis of Dynamic Linear Models
Empirical Bayes Thresholding and Related Methods
Empirical Bayes Estimation of Dynamic Bayesian Networks
Semiparametric Factor and Regression Models for Symmetric Relational D...
Probabilistic Forecasting using Ensembles and Bayesian Model Averaging
MCMC Simulation and Convergence Evaluation using Entropy and Kullback-...
A Flexible Modelling Environment for Inverse Modelling, Sensitivity, I...
Analysis of Geostatistical Data
Tools for Analyzing MCMC Simulations from Bayesian Inference
Graphical Independence Networks
Simple and Scalable Statistical Modelling in R
Hierarchical Bayesian Small Area Estimation
Approximate Probability Densities by Iterated Laplace Approximations
Complete Environment for Bayesian Inference
Functions for Learning Bayesian Inference
Linear Mixed Models
Markov Chain Monte Carlo
Monte Carlo Standard Errors for MCMC
Tools to Visualize, Manipulate, and Summarize MCMC Output
Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Bayesian Model Averaging for Multinomial Logit Models
Model Selection with Bayesian Methods and Information Criteria
Bayesian Package for Network Changepoint Analysis
EBGM Disproportionality Scores for Adverse Event Data Mining
Causal Inference using Bayesian Additive Regression Trees
Stan Models for the Paired Comparison Factor Model
MCMC Diagnostic Plots
Dirichlet Process Bayesian Clustering, Profile Regression
Tools for Prevalence Assessment Studies
Bayesian Variable Selection and Model Averaging using Bayesian Adaptiv...
Interface Utilities, Model Templates, Parallel Computing Methods and A...
R Interface to Stan
Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Super Learner Prediction
Efficient Bayesian Inference for Time-Varying Parameter Models with Sh...
Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'
Political Science Computational Laboratory
Bayesian Applied Regression Modeling via Stan
Bayesian Graphical Models using MCMC
Univariate and Multivariate Spatial-Temporal Modeling
Tools for Social Network Analysis
Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Exact Bayesian Model Selection Methods for the Sparse Normal Sequence ...
Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan
Bayesian Geostatistical Modeling with RAMPS
R Interface to the 'UNU.RAN' Random Variate Generators
Bayesian Graph Structure Learning using Spike-and-Slab Priors
Variational Inference for Hierarchical Generalized Linear Models
Graphical User Interface ('shiny' App) for 'brms'
Bayesian Variable Selection and Model Choice for Generalized Additive ...
Prediction and Variable Selection Using Spike and Slab Regression
Random Orthonormal Matrix Generation and Optimization on the Stiefel M...
Functions for Hierarchical Bayesian Estimation: A Flexible Approach
Semiparametric Bayesian Gaussian Copula Estimation and Imputation
Bayesian Inference for Zero-Inflated Count Models
Fast, Easy, and Visual Bayesian Inference
Bayesian Regression Models using 'Stan'
Ensemble Sampler for Affine-Invariant MCMC
Empirical Bayes Estimation and Inference
Bayesian Exponential Random Graph Models
User Friendly Bayesian Data Analysis for Psychology
Build Dirichlet Process Objects for Bayesian Modelling
Bayesian Adaptive Spline Surfaces
Methods and Tools for Bayesian Dynamic Conditional Correlation GARCH(1...
High Dimensional Bayesian Mediation Analysis
Latent (Variable) Analysis with Bayesian Learning
Bayesian Time Series Modeling with Stan
Bayesian Estimation of an Exploratory Deterministic Input, Noisy and G...
Exploratory Reduced Reparameterized Unified Model Estimation
Bayesian Estimation of DINA Model
Bayesian Spectral Analysis Models using Gaussian Process Priors
Bayesian Estimation of the Reduced Reparameterized Unified Model with ...
Robust Bayesian Meta-Analyses
Bindings for Bayesian TidyModels
Fitting the Multinomial Probit Model
Bayesian Inference for Factor Modeling
Bayes Factors for Informative Hypotheses
Harrell Miscellaneous
MCMC Generalised Linear Mixed Models
Using R to Run 'JAGS'
Discrete Bayesian Additive Regression Trees Sampler
Bayesian Network Structure Learning, Parameter Learning and Inference
Bayesian Additive Regression Trees for Confounder Selection
Multivariate (Dynamic) Generalized Additive Models
Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Bayesian Network Modeling and Analysis
Bayesian Meta-Analysis of Diagnostic Test Data
Bayesian Estimation of Structural Vector Autoregressive Models
Bayesian Analysis, No Gibbs
Understand and Describe Bayesian Models and Posterior Distributions
MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Bayesian Preference Learning with the Mallows Rank Model
Bayesian Treed Gaussian Process Models
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Markov Chain Monte Carlo (MCMC) Package
Bayesian Change-Point Detection and Time Series Decomposition
Bayesian Latent Variable Analysis
Spatio-Temporal Bayesian Modelling