Man pages for mcsm
Functions for Monte Carlo Methods with R

adapumpIllustration of the danger of adaptive MCMC for the pump...
betagenPlot explaining accept-reject on a Beta(2.7,6.3) target
BrakingQuadratic regression on the car braking dataset
challengeSlice sampler analysis of the challenger dataset
challengerO-ring failures against temperature for shuttle launches
dmunormDensity function of the multivariate normal distribution
dyadicA dyadic antithetic improvement for a toy problem
EMcensoEM paths for a censored normal model
EnergyEnergy intake
gibbsmixImplementation of a Gibbs sampler on a mixture posterior
hastingsReproduction of Hastings' experiment
jamesteinMonte Carlo plots of the risks of James-Stein estimators
kscheckConvergence assessment for the pump failure data
logimaLogistic analysis of the Pima.tr dataset with control...
maximpleGraphical representation of a toy example of simulated...
mhmixImplement two Metropolis-Hastings algorithms on a mixture...
mochoiceAn MCMC model choice illustration for the linear model
mumpIllustration of Gelman and Rubin's diagnostic on the pump...
normbydeCompare two double-exponentials approximations to a normal...
pimamhLangevin MCMC algorithm for the probit posterior
pimaxMonte Carlo approximation of a probit posterior marginal
randogibsFirst illustrations of coda's output for the one-way random...
randogitMCEM resolution for a probit maximum likelihood
randomeffGibbs sampler for a one-way random effect model
rdirichletDirichlet generator
reparareffReparameterized version of the one-way random effect model
rmunormRandom generator for the multivariate normal distribution
SAmixGraphical representation of the simulated annealing sequence...
sqarIllustration of some of coda's criterions on the noisy...
sqaradapIllustration of the dangers of doing adaptive MCMC on a noisy...
test1Poor chi-square generator
test2Generic chi-square generator
test3Approximate Poisson generator
test4Replicate Poisson generator
mcsm documentation built on May 30, 2017, 1:33 a.m.