AddExternalLegend       Add an external legend to an array of plots.
Ar1CoefficientPrior     Normal prior for an AR1 coefficient
BetaPrior               Beta prior for a binomial proportion
CompareVectorBoxplots   Boxplots to compare distributions of vectors
DirichletPrior          Dirichlet prior for a multinomial distribution
DiscreteUniformPrior    Discrete prior distributions
GammaPrior              Gamma prior distribution
MarkovPrior             Prior for a Markov chain
MvnDiagonalPrior        diagonal MVN prior
MvnIndependentSigmaPrior
                        Independence prior for the MVN
MvnPrior                Multivariate normal prior
NormalInverseGammaPrior
                        Normal inverse gamma prior
NormalInverseWishartPrior
                        Normal inverse Wishart prior
NormalPrior             Normal (scalar Gaussian) prior distribution
PairsDensity            Pairs plot for posterior distributions.
PlotDensityContours     Contour plot of a bivariate density.
PlotDynamicDistribution
                        Plots the pointwise evolution of a distribution
                        over an index set.
SdPrior                 Prior for a standard deviation or variance
UniformPrior            Uniform prior distribution
add.segments            Function to add horizontal line segments to an
                        existing plot
boxplot.mcmc.matrix     Plot the distribution of a matrix
boxplot.true            side-by-side boxplots from a matrix, with
                        optional reference values
compare.den             Compare several density estimates.
compare.many.densities
                        Compare several density estimates.
compare.many.ts         Compares several density estimates.
double.model            Prior distributions for a real valued scalar
is.even                 Check whether a number is even or odd.
plot.macf               Plots individual autocorrelation functions for
                        many-valued time series
plot.many.ts            Multiple time series plots
thin                    Thin the rows of a matrix
