• BayesDA

  • Referenced in 1310 articles [sw11008]
  • BayesDA: Functions and Datasets for the book ”Bayesian Data Analysis” Functions for Bayesian Data Analysis ... with datasets from the book ”Bayesian data Analysis (second edition)” by Gelman, Carlin, Stern...
  • BUGS

  • Referenced in 378 articles [sw07885]
  • BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...
  • spBayes

  • Referenced in 389 articles [sw10160]
  • geostatistical data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves...
  • JAGS

  • Referenced in 247 articles [sw08040]
  • program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation ... plaftorm for experimentation with ideas in Bayesian modelling. JAGS is licensed under the GNU General...
  • mclust

  • Referenced in 309 articles [sw00563]
  • Based Clustering, Classification, and Density Estimation, including Bayesian regularization...
  • Stan

  • Referenced in 297 articles [sw10200]
  • probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized...
  • tsbridge

  • Referenced in 171 articles [sw12354]
  • tsbridge: Calculate normalising constants for Bayesian time series models. The tsbridge package contains a collection ... probabilities for a variety of time series Bayesian models, where parameters are estimated using BUGS...
  • PMTK

  • Referenced in 236 articles [sw14689]
  • framework encompassing machine learning, graphical models, and Bayesian statistics (hence the logo). (Some methods from...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • BART: Bayesian additive regression trees. We develop a Bayesian “sum-of-trees” model where each ... inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...
  • bnlearn

  • Referenced in 77 articles [sw08265]
  • package bnlearn: Bayesian network structure learning, parameter learning and inference. Bayesian network structure learning, parameter ... support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross...
  • RStan

  • Referenced in 87 articles [sw13990]
  • probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough ... Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • BayesTree: Bayesian Methods for Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees ... develop a Bayesian “sum-of-trees” model where each tree is constrained by a regularization ... inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...
  • DPpackage

  • Referenced in 70 articles [sw10495]
  • DPpackage: Bayesian Semi- and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... specification of the probability model. In the Bayesian context, this is accomplished by placing ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently...
  • bvarsv

  • Referenced in 110 articles [sw11023]
  • bvarsv: Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and Time-Varying Parameters...
  • Spearmint

  • Referenced in 110 articles [sw17859]
  • Spearmint is a software package to perform Bayesian optimization. The Software is designed to automatically...
  • bayesm

  • Referenced in 66 articles [sw06787]
  • Teaching Bayesian statistics to marketing and business students. We discuss our experiences teaching Bayesian statistics ... course that emphasizes the value of the Bayesian approach to solving nontrivial problems. The success...
  • AutoClass

  • Referenced in 70 articles [sw26092]
  • Autoclass - A Bayesian Approach to Classification. We describe a Bayesian approach to the unsupervised discovery...
  • boa

  • Referenced in 91 articles [sw04493]
  • package boa: Bayesian Output Analysis Program (BOA) for MCMC. A menu-driven program and library...
  • rjags

  • Referenced in 65 articles [sw08039]
  • package rjags: Bayesian graphical models using MCMC. Interface to the JAGS MCMC library. The rjags ... from R to the JAGS library for Bayesian data analysis. JAGS uses Markov Chain Monte...
  • MrBayes

  • Referenced in 60 articles [sw07715]
  • MrBayes: Bayesian Inference of Phylogeny. MrBayes is a program for Bayesian inference and model choice...