
JAGS
 Referenced in 173 articles
[sw08040]
 JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical...

OpenBUGS
 Referenced in 67 articles
[sw08316]
 Monte Carlo) scheme (based on the Gibbs sampler) for analysing the specified model. The user...

lda
 Referenced in 11 articles
[sw07319]
 implemented via a fast collapsed Gibbs sampler writtten in C. Utility functions for reading/writing data...

runjags
 Referenced in 11 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...

TreeBUGS
 Referenced in 5 articles
[sw16694]
 tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests...

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...

horserule
 Referenced in 3 articles
[sw27913]
 very efficient and easily implemented Gibbs sampler. The new model is shown to outperform state...

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...

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

bayest
 Referenced in 1 article
[sw33317]
 effect size. The underlying Gibbs sampler is based on a twocomponent Gaussian mixture ... more details about the Gibbs sampler see Kelter...

PGSM
 Referenced in 1 article
[sw23283]
 merge procedure built using the particle Gibbs sampler introduced in Andrieu ... resulting socalled Particle Gibbs SplitMerge sampler does not require the computation ... given computational budget, the Particle Gibbs SplitMerge sampler empirically outperforms existing split merge methods...

tglm
 Referenced in 1 article
[sw27007]
 under Independent Studentt Priors. Use Gibbs sampler with PolyaGamma 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...