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

• DESCRIPTION file.

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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