• PRISM

  • Referenced in 374 articles [sw01186]
  • supports three probabilistic models: discrete-time Markov chains, Markov decision processes and continuous-time Markov...
  • CODA

  • Referenced in 194 articles [sw04290]
  • MCMC , Output analysis and diagnostics for Markov Chain Monte Carlo simulations. Provides functions for summarizing ... plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests ... equilibrium distribution of the Markov chain...
  • BUGS

  • Referenced in 298 articles [sw07885]
  • analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...
  • spBayes

  • Referenced in 253 articles [sw10160]
  • fitting such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends...
  • GMRFLib

  • Referenced in 221 articles [sw06641]
  • statistical inference is only possible using Markov Chain Monte Carlo (MCMC) techniques. The preeminent experts...
  • Expokit

  • Referenced in 149 articles [sw00258]
  • critical importance in the area of Markov chains and furthermore, the computed solution is subject ... computation of transient states of Markov chains...
  • MCQueue

  • Referenced in 122 articles [sw05198]
  • MCQueue: educational software for Markov Chains and Queues (non-commercial use) This software package contains ... discrete-time and continuous-time Markov chains up to 100 states. The other module calculates...
  • JAGS

  • Referenced in 134 articles [sw08040]
  • analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike...
  • PEPA

  • Referenced in 108 articles [sw10692]
  • editor and performance analysers which use Markov chain or ODE methods or simulation. Performance results...
  • MLwiN

  • Referenced in 82 articles [sw04837]
  • uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based...
  • OpenBUGS

  • Referenced in 62 articles [sw08316]
  • system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based on the Gibbs...
  • Gibbsit

  • Referenced in 60 articles [sw25318]
  • achieve a specified accuracy level in Markov chain Monte Carlo. An S translation...
  • MARCA

  • Referenced in 30 articles [sw00547]
  • MARCA: Markov chain analyzer, a software package for Markov modeling MARCA is a software package ... facilitate the generation of large Markov chains and to compute transitent probability distributions...
  • R-INLA

  • Referenced in 41 articles [sw08014]
  • compared with that obtained by Markov chain Monte Carlo, showing similar accuracy with only...
  • Mcmcpack

  • Referenced in 38 articles [sw07974]
  • MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference...
  • SMART_

  • Referenced in 33 articles [sw04097]
  • when the underlying process is a Markov chain. In addition, discrete-event simulation is always ... process, but certain classes of non-Markov models can still be solved numerically. Finally, since...
  • BEAST

  • Referenced in 33 articles [sw12588]
  • single tree topology. BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree...
  • MrBayes

  • Referenced in 32 articles [sw07715]
  • phylogenetic and evolutionary models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate...
  • rjags

  • Referenced in 31 articles [sw08039]
  • Bayesian data analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate a sequence...
  • dlm

  • Referenced in 26 articles [sw04503]
  • linear regression models are reminded, and Markov chain Monte Carlo methods are presented. Chapter...