
JAGS
 Referenced in 272 articles
[sw08040]
 JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical ... models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written ... write their own functions, distributions and samplers. (3) To be a plaftorm for experimentation with...

Rtwalk
 Referenced in 30 articles
[sw14215]
 walk’ is a generalpurpose MCMC sampler for arbitrary continuous distributions that requires no tuning...

emcee
 Referenced in 57 articles
[sw20217]
 emcee: The MCMC Hammer. We introduce a stable, well tested Python implementation ... affineinvariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare...

OpenBUGS
 Referenced in 81 articles
[sw08316]
 appropriate MCMC (Markov chain Monte Carlo) scheme (based on the Gibbs sampler) for analysing...

MontePython 3
 Referenced in 13 articles
[sw41933]
 MontePython 3: boosted MCMC sampler and other features. MontePython is a parameter inference package...

MfUSampler
 Referenced in 5 articles
[sw20444]
 package MfUSampler. MultivariatefromUnivariate (MfU) MCMC Sampler. Convenience functions for multivariate MCMC using univariate...

mcmcabn
 Referenced in 3 articles
[sw31038]
 mcmcabn: Flexible Implementation of a Structural MCMC Sampler for DAGs. Flexible implementation of a structural ... MCMC sampler for Directed Acyclic Graphs (DAGs). It supports the new edge reversal move from ... over structures or nuisance dependencies. Structural MCMC seems a very elegant and natural...

RaschSampler
 Referenced in 3 articles
[sw25840]
 package RaschSampler: Rasch Sampler. MCMC based sampling of binary matrices with fixed margins as used...

HYDRA
 Referenced in 3 articles
[sw10159]
 implements the logic of standard MCMC samplers within a framework designed to be easy...

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

CosmoMC
 Referenced in 43 articles
[sw16206]
 Fortran 2008 MarkovChain MonteCarlo (MCMC) engine for exploring cosmological parameter space, together with ... also be compiled as a generic sampler without using any cosmology codes...

SamplerCompare
 Referenced in 2 articles
[sw10539]
 performance of Markov chain Monte Carlo (MCMC) samplers. It samples from a collection of distributions ... with a collection of MCMC methods over a range of tuning parameters. Then, using ... with a collection of predefined distributions and samplers and provides R and C interfaces...

MCMCvis
 Referenced in 2 articles
[sw18484]
 with JAGS, Stan, or other MCMC samplers...

zic
 Referenced in 2 articles
[sw35800]
 selection (SVS) is also considered. All MCMC samplers are coded in C++ for improved efficiency...

GiRaF
 Referenced in 2 articles
[sw41649]
 approximate sample from the likelihood using MCMC samplers for large lattices...

PyMultiNest
 Referenced in 2 articles
[sw28457]
 arxiv.org/abs/0809.3437, or in a classic MCMC sampler, http://apemost.sf.net/ ). Recently, MultiNest added Importance Nested...

twalk
 Referenced in 28 articles
[sw14214]
 algorithms and software difficult); it is an MCMC that does not required tuning. However ... well in some examples and fine tuned samplers to specific objective densities should perform better...

runjags
 Referenced in 20 articles
[sw10688]
 parallel computing methods and additional distributions for MCMC models in JAGS. This package provides high ... level interface utilities for Just Another Gibbs Sampler (JAGS). The primary functions facilitate running parallel...

stableGR
 Referenced in 1 article
[sw41293]
 often use Markov chain Monte Carlo (MCMC) samplers to sample from a posterior distribution. This...

mcgibbsit
 Referenced in 1 article
[sw24887]
 necessarily independent) MCMC samplers. It combines the estimate errorbounding approach of the Raftery...