• JAGS

  • Referenced in 272 articles [sw08040]
  • JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical ... Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind ... experimentation with ideas in Bayesian modelling. JAGS is licensed under the GNU General Public License...
  • rjags

  • Referenced in 66 articles [sw08039]
  • graphical models using MCMC. Interface to the JAGS MCMC library. The rjags package provides ... interface from R to the JAGS library for Bayesian data analysis. JAGS uses Markov Chain...
  • runjags

  • Referenced in 20 articles [sw10688]
  • additional distributions for MCMC models in JAGS. This package provides high-level interface utilities ... Just Another Gibbs Sampler (JAGS). The primary functions facilitate running parallel JAGS models for multiple ... locally (via the rjags package or separate JAGS instances) or via distributed computing clusters such ... Xgrid, or other user specified functions. A JAGS extension module implementing additional distributions for JAGS...
  • R2jags

  • Referenced in 24 articles [sw11796]
  • package R2jags: Using R to Run ’JAGS’. Providing wrapper functions to implement Bayesian analysis ... JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman...
  • dclone

  • Referenced in 15 articles [sw23656]
  • Sequential and parallel MCMC support for ’JAGS’, ’WinBUGS’ and ’OpenBUGS...
  • jags-wiener

  • Referenced in 6 articles [sw39525]
  • Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example ... open-source, cross-platform graphical modeling package JAGS (“Just Another Gibbs Sampler”). JAGS is intended ... needed and do not interfere with regular JAGS functionality when not loaded. Writing custom extensions ... example, we implement a Bernoulli distribution in JAGS. We further present our implementation...
  • TreeBUGS

  • Referenced in 12 articles [sw16694]
  • Models are either fitted by calling JAGS (Plummer, 2003) or by an MPT-tailored Gibbs...
  • bayesmix

  • Referenced in 7 articles [sw23613]
  • package bayesmix: Bayesian Mixture Models with JAGS. The fitting of finite mixture models of univariate ... Gaussian distributions using JAGS within a Bayesian framework is provided...
  • zoib

  • Referenced in 4 articles [sw22966]
  • Markov Chain Monte Carlo approach implemented in JAGS...
  • gemtc

  • Referenced in 3 articles [sw17234]
  • treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency...
  • BayesPostEst

  • Referenced in 3 articles [sw31515]
  • generated by any Bayesian estimation tool including ’JAGS’, ’BUGS’, ’MCMCpack’, and ’Stan...
  • tidybayes

  • Referenced in 3 articles [sw31516]
  • visualize posterior draws from Bayesian models (’JAGS’, ’Stan’, ’rstanarm’, ’brms’, ’MCMCglmm’, ’coda’, ...) in a tidy...
  • dalmatian

  • Referenced in 1 article [sw40857]
  • Fitting of Double Linear Mixed Models in ’JAGS’ and ’nimble’. Automates fitting of double ... JAGS’. Includes automatic generation of ’JAGS’ scripts, running ’JAGS’ or ’nimble’ via the ’rjags...
  • ArchaeoChron

  • Referenced in 1 article [sw37181]
  • chronologies. The Bayesian models are implemented in ’JAGS’ (’JAGS’ stands for Just Another Gibbs Sampler ... Carlo (MCMC) simulation. See and ”JAGS Version 4.3.0 user manual”, Martin Plummer...
  • jagstargets

  • Referenced in 1 article [sw40741]
  • package jagstargets: Targets for JAGS Workflows. Bayesian data analysis usually incurs long runtimes and cumbersome ... super easy to set up scalable JAGS pipelines that automatically parallelize the computation and skip ... documentation of ’targets’ and ’JAGS’ (Plummer 2003) ....
  • pexm

  • Referenced in 1 article [sw40862]
  • package pexm: Loading a JAGS Module for the Piecewise Exponential Distribution. Load the Just Another ... Gibbs Sampling (JAGS) module ’pexm’. The module provides the tools to work with the Piecewise ... Monte Carlo algorithm (Gibbs Sampling) implemented via JAGS. Details about the module implementation...
  • BANOVA

  • Referenced in 2 articles [sw16130]
  • easily interpretable for behavioral researchers. BANOVA uses JAGS as the computational platform...
  • MCMCvis

  • Referenced in 2 articles [sw18484]
  • derived from Bayesian model output fit with JAGS, Stan, or other MCMC samplers...
  • SoftCuts

  • Referenced in 2 articles [sw21603]
  • since it is able to suppress the jagged edge artifact effectively. However, for soft image...
  • Mamba

  • Referenced in 2 articles [sw31234]
  • have models that can be fit in JAGS, Stan, or OpenBUGS are encouraged...