• 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 general-purpose 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 ... affine-invariant 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. Multivariate-from-Univariate (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 Markov-Chain Monte-Carlo (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...
  • 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...
  • t-walk

  • 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 error-bounding approach of the Raftery...