General Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling

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Documentation for package ‘MHadaptive’ version 1.1-8

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MHadaptive-package General Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling
BCI Bayesian Credible Interval
gettingstarted.MHadaptive Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings
isPositiveDefinite Positive Definite Matrixes
makePositiveDefinite Positive Definite Matrixes
mcmc_r A sample object created by running Metro_Hastings().
mcmc_thin Thin an MCMC object to reduce autocorrelation.
Metro_Hastings Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings
MHadaptive General Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling
plotMH Plot MCMC results of a call to Metro_Hastings().
positiveDefinite Positive Definite Matrixes