SamplerCompare-package | A framework for comparing the performance of MCMC samplers |
adaptive.metropolis.sample | Adaptive Metropolis |
ar.act | Compute the autocorrelation time of a chain |
arms.sample | Adaptive Rejection Metropolis Sampler |
chdd | Cholesky Update/Downdate |
check.dist.gradient | Test a gradient function |
chud | Cholesky Update/Downdate |
compare.samplers | Compare MCMC samplers on distributions |
comparison.plot | Plot the results of compare.samplers |
cov.match.sample | Sample with covariance-matching slice sampling |
dist-class | A class representing a probability distribution |
funnel.dist | Funnel distribution object |
hyperrectangle.sample | Multivariate slice samplers |
ics.act | Compute the autocorrelation time of a chain |
interval.slice.sample | Univariate slice samplers |
make.c.dist | Define a probability distribution object with C log-density |
make.cone.dist | Create a cone distribution object |
make.dist | Define a probability distribution object |
make.gaussian | Gaussian distribution objects |
make.multimodal.dist | Create a distribution object for a random mixture of Gaussians |
make.mv.gamma.dist | Create a distribution object for a set of uncorrelated Gamma distributions |
multivariate.metropolis.sample | Metropolis samplers |
N2weakcor.dist | Gaussian distribution objects |
N4negcor.dist | Gaussian distribution objects |
N4poscor.dist | Gaussian distribution objects |
nograd.hyperrectangle.sample | Multivariate slice samplers |
nonadaptive.crumb.sample | Sample with nonadaptive-crumb slice sampling |
raw.symbol | Locate a symbol |
SamplerCompare | A framework for comparing the performance of MCMC samplers |
schools.dist | Eight schools distribution object |
shrinking.rank.sample | Sample with shrinking-rank slice sampling |
stepout.slice.sample | Univariate slice samplers |
univar.metropolis.sample | Metropolis samplers |
wrap.c.sampler | Create an R stub function for a sampler implemented in C |