• JAGS

  • Referenced in 136 articles [sw08040]
  • JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical...
  • OpenBUGS

  • Referenced in 62 articles [sw08316]
  • Monte Carlo) scheme (based on the Gibbs sampler) for analysing the specified model. The user...
  • lda

  • Referenced in 8 articles [sw07319]
  • implemented via a fast collapsed Gibbs sampler writtten in C. Utility functions for reading/writing data...
  • runjags

  • Referenced in 6 articles [sw10688]
  • level interface utilities for Just Another Gibbs Sampler (JAGS). The primary functions facilitate running parallel...
  • cudaBayesreg

  • Referenced in 6 articles [sw24712]
  • global statistical model implements a Gibbs Sampler for hierarchical linear models with a normal prior...
  • bsa

  • Referenced in 5 articles [sw26370]
  • output of the Gibbs sampler to very quickly recalculate the posterior when we change...
  • PhyloGibbs

  • Referenced in 2 articles [sw09376]
  • PhyloGibbs: A Gibbs sampler incorporating phylogenetic information. We present a new Gibbs sampler algorithm with ... divergence between the species, a conventional Gibbs sampler will fail. We compare the effectiveness against ... further improvements over previous Gibbs samplers, including accounting for correlations in the “background” model...
  • IRTmu2no

  • Referenced in 4 articles [sw25350]
  • description of software that implements the Gibbs sampler for such models with two item parameters...
  • RNAG

  • Referenced in 2 articles [sw17129]
  • RNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequences. Motivation ... unaligned sequences. It uses a blocked Gibbs sampling algorithm, which has a theoretical advantage...
  • ctmcd

  • Referenced in 2 articles [sw26626]
  • maximization algorithm as well as a Gibbs sampler...
  • HSROC

  • Referenced in 2 articles [sw25061]
  • Bayesian approach, implemented via a Gibbs sampler. The model can be applied in situations where...
  • TreeBUGS

  • Referenced in 2 articles [sw16694]
  • tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests...
  • SCRSELECT

  • Referenced in 1 article [sw20292]
  • risks model. These functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings ... Green sampler for the number of split points and parameters for the three baseline hazard ... quantities sampled in the Gibbs sampler after a burn-in period to a desired file...
  • PGSM

  • Referenced in 1 article [sw23283]
  • merge procedure built using the particle Gibbs sampler introduced in Andrieu ... resulting so-called Particle Gibbs Split-Merge sampler does not require the computation ... given computational budget, the Particle Gibbs Split-Merge sampler empirically outperforms existing split merge methods...
  • tglm

  • Referenced in 1 article [sw27007]
  • under Independent Student-t Priors. Use Gibbs sampler with Polya-Gamma data augmentation...
  • BayesianPGMM

  • Referenced in 1 article [sw30613]
  • details. This package requires Just Another Gibbs Sampler (JAGS) to be installed on your computer...
  • bayesloglin

  • Referenced in 1 article [sw19810]
  • function gibbsSampler() is a blocked Gibbs sampler for sampling from the posterior distribution...
  • ChoiceModelR

  • Referenced in 1 article [sw15186]
  • distribution. The algorithm uses a hybrid Gibbs Sampler with a random walk metropolis step...
  • BAMD

  • Referenced in 1 article [sw17319]
  • with Missing Data). BAMD is a Gibbs sampler, in which missing values are multiply imputed...
  • BayCount

  • Referenced in 1 article [sw26925]
  • efficient compound Poisson-based blocked Gibbs sampler. Simulation studies show that BayCount is able...