• rstan

  • Referenced in 28 articles [sw16103]
  • full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via variational approximation...
  • mcmcse

  • Referenced in 20 articles [sw08171]
  • Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation...
  • mcmc

  • Referenced in 12 articles [sw14648]
  • package. mcmc: Markov Chain Monte Carlo. Simulates continuous distributions of random vectors using Markov chain...
  • latentnet

  • Referenced in 18 articles [sw10550]
  • models based on an Markov chain Monte Carlo algorithm. It can also compute maximum likelihood...
  • stochvol

  • Referenced in 17 articles [sw19383]
  • stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods...
  • geoRglm

  • Referenced in 17 articles [sw06328]
  • predictive inference is based on Markov chain Monte Carlo methods. Package geoRglm is an extension...
  • AMCMC

  • Referenced in 15 articles [sw01123]
  • function, by performing an adaptive Markov chain Monte Carlo (MCMC) algorithm, specifically adaptive Metropolis-within...
  • BGX

  • Referenced in 15 articles [sw06935]
  • package employs a novel adaptive Markov chain Monte Carlo (MCMC) algorithm that raises considerably...
  • lgcp

  • Referenced in 14 articles [sw22045]
  • tool for these models is Markov chain Monte Carlo and the new package, lgcp, therefore...
  • LibBi

  • Referenced in 13 articles [sw19384]
  • them. The focus is on sequential Monte Carlo (SMC) methods such as the particle filter ... state estimation, and the particle Markov chain Monte Carlo (PMCMC) and SMC^2 methods...
  • dclone

  • Referenced in 13 articles [sw23656]
  • using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos...
  • blasso

  • Referenced in 13 articles [sw06769]
  • inference is easily achieved using Markov chain Monte Carlo (MCMC) methods. Uncertainty about model specification...
  • bmds

  • Referenced in 12 articles [sw27804]
  • within a Bayesian framework. A Markov chain Monte Carlo algorithm is proposed for object configuration...
  • BDgraph

  • Referenced in 12 articles [sw14815]
  • which is a trans-dimensional Markov Chain Monte Carlo (MCMC) approach based on a continuous...
  • CosmoMC

  • Referenced in 18 articles [sw16206]
  • CosmoMC is a Fortran 2008 Markov-Chain Monte-Carlo (MCMC) engine for exploring cosmological parameter...
  • EnsembleQN

  • Referenced in 7 articles [sw23336]
  • Ensemble preconditioning for Markov chain Monte Carlo simulation. We describe parallel Markov chain Monte Carlo...
  • Bali-phy

  • Referenced in 11 articles [sw16614]
  • Bayesian posterior sampler that employs Markov chain Monte Carlo to explore the joint space...
  • BayesSpec

  • Referenced in 10 articles [sw38471]
  • with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly...
  • bcp

  • Referenced in 10 articles [sw14696]
  • errors change point problem using Markov Chain Monte Carlo. It also extends the methodology...
  • corner.py

  • Referenced in 10 articles [sw26517]
  • display the results of Markov Chain Monte Carlo simulations and the defaults are chosen with...