Man pages for JGCRI/metrosamp
Basic Metropolis Sampler for Markov Chain Monte Carlo

analysis-functionsAnalysis functions for MCMC outputs
concatConcatenate metrosamp objects from continuation runs into a...
cor2covConvert a correlaiton matrix into a covariance matrix
getsamplesExtract matrix of samples from a 'metrosamp' object
metrosampPerform Metropolis sampling with batch averaging
neffCorrect Markov chain sample count for autocorrelation.
normpostLog-posterior for a multi-variate normal distribution
rosenbrockCalculate the Rosenbrock function
scltuneFind a scale vector that produces a desired acceptance rate
JGCRI/metrosamp documentation built on Aug. 8, 2019, 10:59 p.m.