
Stan
 Referenced in 302 articles
[sw10200]
 full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with...

glmmAK
 Referenced in 28 articles
[sw13218]
 regression (loglinear model). Secondly, Bayesian estimation based on MCMC in the logistic and Poisson...

MrBayes
 Referenced in 62 articles
[sw07715]
 Phylogeny. MrBayes is a program for Bayesian inference and model choice across a wide range ... uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution of model parameters...

Label.switching
 Referenced in 26 articles
[sw14745]
 package label.switching: Relabelling MCMC Outputs of Mixture Models. The Bayesian estimation of mixture models ... from the label switching phenomenon, making the MCMC output nonidentifiable. This package...

stochvol
 Referenced in 25 articles
[sw19383]
 fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods...

BayesPostEst
 Referenced in 3 articles
[sw31515]
 MCMC Estimation. An implementation of functions to generate and plot postestimation quantities after estimating Bayesian ... chain Monte Carlo (MCMC). Functionality includes the estimation of the PrecisionRecall curves (see Beger ... used with MCMC output generated by any Bayesian estimation tool including ’JAGS’, ’BUGS’, ’MCMCpack...

BartPy
 Referenced in 99 articles
[sw40584]
 MCMC algorithm that generates samples from a posterior. Effectively, BART is a nonparametric Bayesian regression ... full posterior inference including point and interval estimates of the unknown regression function as well...

BEAST
 Referenced in 60 articles
[sw12588]
 platform program for Bayesian phylogenetic analysis of molecular sequences. It estimates rooted, timemeasured phylogenies ... BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space, so that...

ABCtoolbox
 Referenced in 11 articles
[sw08813]
 perform Approximate Bayesian Computation (ABC) estimations using various recently published algorithms including MCMC without likelihood...

BayesTree
 Referenced in 64 articles
[sw07995]
 MCMC algorithm that generates samples from a posterior. Effectively, BART is a nonparametric Bayesian regression ... full posterior inference including point and interval estimates of the unknown regression function as well...

dclone
 Referenced in 15 articles
[sw23656]
 maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte ... Sequential and parallel MCMC support for ’JAGS’, ’WinBUGS’ and ’OpenBUGS...

BayesSpec
 Referenced in 19 articles
[sw38471]
 methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum ... plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain...

spatcounts
 Referenced in 6 articles
[sw13743]
 develop and implement MCMC algorithms in $R$ for Bayesian estimation. The corresponding R library `spatcounts...

factorstochvol
 Referenced in 3 articles
[sw31446]
 Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility...

binspp
 Referenced in 1 article
[sw42220]
 NeymanScott Point Processes. The Bayesian MCMC estimation of parameters for Thomastype cluster point ... package also allows for the Bayesian MCMC algorithm for the homogeneous generalized Thomas process...

shrinkTVP
 Referenced in 3 articles
[sw29787]
 Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of timevarying parameter models...

reglogit
 Referenced in 10 articles
[sw14464]
 Gibbs sampling. The package implements subtly different MCMC schemes with varying efficiency depending ... desired estimator (regularized maximum likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a unified...

GEMMA
 Referenced in 5 articles
[sw23999]
 Bayesian sparse linear mixed model (BSLMM) using Markov chain Monte Carlo (MCMC) for estimating...

PLMIX
 Referenced in 4 articles
[sw19806]
 Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations ... special case of the noninformative Bayesian analysis with vague priors...

bcp
 Referenced in 11 articles
[sw14696]
 package bcp: Bayesian Analysis of Change Point Problems. Provides an implementation of the Barry ... this allows estimation of change point models with multivariate responses. Parallel MCMC, previously available...