adaptive.metropolis.sample
                        Adaptive Metropolis
ar.act                  Compute the autocorrelation time of a chain
arms.sample             Adaptive Rejection Metropolis Sampler
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
compounded.sampler      Build a sampler from transition functions
cov.match.sample        Sample with covariance-matching slice sampling
funnel.dist             Funnel distribution object
hyperrectangle.sample   Multivariate 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
nonadaptive.crumb.sample
                        Sample with nonadaptive-crumb slice sampling
oblique.hyperrect.sample
                        Eigendecomposition-based hyperrectangle method
raw.symbol              Locate a symbol
scdist-class            A class representing a probability distribution
schools.dist            Eight schools distribution object
shrinking.rank.sample   Sample with shrinking-rank slice sampling
simulation.result       Summarize one MCMC chain
stepout.slice.sample    Univariate slice samplers
twonorm                 Euclidean norm of a vector
univar.eigen.sample     Eigendecomposition-based slice samplers
wrap.c.sampler          Create an R stub function for a sampler
                        implemented in C
