• 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...
  • vir

  • Referenced in 1 article [sw37284]
  • show how the derivation for a Gibbs sampler can be easily modified to derive ... similar uncertainty quantification as the corresponding Gibbs samplers, while estimating the model parameters...
  • COMODE

  • Referenced in 3 articles [sw36145]
  • sequences. Commonly used methods (e.g., MEME, Gibbs motif sampler) model binding sites as families...
  • 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...
  • glmdisc

  • Referenced in 1 article [sw33577]
  • hal.inria.fr/inria-00074164>) associated with a Gibbs sampler which purpose is to learn a constrained representation...
  • ArchaeoChron

  • Referenced in 1 article [sw37181]
  • JAGS’ (’JAGS’ stands for Just Another Gibbs Sampler. It is a program for the analysis...
  • rtmpt

  • Referenced in 1 article [sw34927]
  • samples are sampled using a Metropolis-Gibbs sampler like the one described in the Klauer...
  • Kpax3

  • Referenced in 1 article [sw38618]
  • implementation of both split-merge and Gibbs sampler type MCMC algorithms to traverse the joint...
  • 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...
  • intRinsic

  • Referenced in 1 article [sw37515]
  • mixture model, for which an efficient Gibbs sampler is implemented. After discussing the theoretical background...
  • Tmod

  • Referenced in 1 article [sw20498]
  • motif discovery programs: MDscan, BioProspector, AlignACE, Gibbs Motif Sampler, MEME, CONSENSUS, MotifRegressor, GLAM, MotifSampler, SeSiMCMC...
  • lrgs

  • Referenced in 0 articles [sw16144]
  • package lrgs. Implements a Gibbs sampler to do linear regression with multiple covariates, multiple responses...
  • MLPUGS

  • Referenced in 0 articles [sw15744]
  • observations are classified using a Gibbs sampler since each unobserved label is conditioned...
  • BACCT

  • Referenced in 0 articles [sw15607]
  • trial setting by calling ’Just Another Gibbs Sampler’ (’JAGS’) software. In addition, the ’BACCT’ package...
  • timedelay

  • Referenced in 0 articles [sw17892]
  • distributions and a Metropolis-Hastings within Gibbs sampler, producing posterior samples of the model parameters...
  • BClass

  • Referenced in 1 article [sw26091]
  • standard Metropolis-Hastings and Gibbs sampling algorithms, we constructed a sampler to approximate posterior moments...