• DPpackage

  • Referenced in 62 articles [sw10495]
  • process prior, and a general purpose Metropolis sampling algorithm. To maximize computational efficiency, the actual...
  • Mcmcpack

  • Referenced in 49 articles [sw07974]
  • statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization...
  • ramcmc

  • Referenced in 16 articles [sw17890]
  • package ramcmc. Robust Adaptive Metropolis Algorithm. Function for adapting the shape of the random walk ... proposal as specified by robust adaptive Metropolis algorithm by Vihola (2012) <
  • mcmc

  • Referenced in 12 articles [sw14648]
  • unnormalized density. Algorithms are random walk Metropolis algorithm (function metrop), simulated tempering (function temper...
  • Grapham

  • Referenced in 5 articles [sw08541]
  • graphical models with adaptive random walk Metropolis algorithms. Recently developed adaptive Markov chain Monte Carlo ... implemented algorithms include the seminal Adaptive Metropolis algorithm adjusting the proposal covariance according ... history of the chain and a Metropolis algorithm adjusting the proposal scale based ... adjust several parameters of the algorithms. The implemented Metropolis-within-Gibbs update allows arbitrary sampling...
  • BASS

  • Referenced in 8 articles [sw02167]
  • Markov chain Monte Carlo methods, especially Metropolis­Hastings algorithm, for exploring posterior distributions. The system ... definition language, and then runs the Metropolis­Hastings algorithm...
  • AdMit

  • Referenced in 8 articles [sw09498]
  • target density function. The core algorithm consists of the function AdMit which fits an adaptive ... importance sampling or the independence chain Metropolis-Hastings algorithm is used to obtain quantities ... difficult task of tuning a sampling algorithm. The relevance of the package is shown ... cases of importance sampling and the Metropolis-Hastings algorithm using a naive candidate and with...
  • Figaro

  • Referenced in 10 articles [sw28902]
  • classes. Figaro provides a modular, compositional Metropolis-Hastings algorithm, and gives the modeler optional control...
  • AMCMC

  • Referenced in 15 articles [sw01123]
  • Markov chain Monte Carlo (MCMC) algorithm, specifically adaptive Metropolis-within-Gibbs...
  • DREAM

  • Referenced in 6 articles [sw24746]
  • toolbox of the DiffeRential Evolution Adaptive Metropolis (DREAM) algorithm developed by Vrugt et¿al. (2008a...
  • GPS-ABC

  • Referenced in 15 articles [sw16117]
  • inference. Both algorithms use confidence estimates for the accept probability in the Metropolis Hastings step...
  • saemix

  • Referenced in 2 articles [sw08851]
  • using the Stochastic Approximation Expectation Maximization (SAEM) algorithm, - provides standard errors for the maximum likelihood ... individual parameters, using the Hastings-Metropolis algorithm. Several applications of SAEM in agronomy, animal breeding...
  • INCOP

  • Referenced in 2 articles [sw00441]
  • library. The user can easily add new algorithms and encode new problems. The neighborhood management ... first time by a standard Metropolis algorithm...
  • exactLoglinTest

  • Referenced in 3 articles [sw25926]
  • remove nuisance parameters. A Monte Carlo algorithm is proposed to estimate P values from ... this is not the case, a Metropolis Hastings algorithm can be implemented that makes more...
  • Vegas

  • Referenced in 1 article [sw27549]
  • Heisenberg model and the Monte Carlo Metropolis algorithm, Vegas provides the required tools to simulate...
  • MHTrajectoryR

  • Referenced in 2 articles [sw18786]
  • model space is huge, a Metropolis-Hastings algorithm carries out the model selection by maximizing...
  • SIMANN

  • Referenced in 11 articles [sw02517]
  • optima. Starting from an initial point, the algorithm takes a step and the function ... This uphill decision is made by the Metropolis criteria. As the optimization process proceeds ... length of the steps decline and the algorithm closes in on the global optimum. Since...
  • SPPARKS

  • Referenced in 9 articles [sw04146]
  • includes algorithms for kinetic Monte Carlo (KMC), rejection kinetic Monte Carlo (rKMC), and Metropolis Monte...
  • GOMC

  • Referenced in 2 articles [sw27534]
  • simulating molecular systems using the Metropolis Monte Carlo algorithm. It supports simulations in a variety...
  • SearchFill

  • Referenced in 1 article [sw26745]
  • present an implementation of a stochastic optimization algorithm applied to location of atomic vacancies ... falls below a tolerance parameter. A Metropolis-like algorithm displaces the vacancies randomly, using...