Bayesian Object Oriented Modeling


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Documentation for package ‘Boom’ version 0.1

Help Pages

add.segments Function to add horizontal line segments to an existing plot
AddExternalLegend Add an external legend to an array of plots.
AddSegments Function to add horizontal line segments to an existing plot
Ar1CoefficientPrior Normal prior for an AR1 coefficient
BetaPrior Beta prior for a binomial proportion
boxplot.mcmc.matrix Plot the distribution of a matrix
boxplot.true side-by-side boxplots from a matrix, with optional reference values
BoxplotMcmcMatrix Plot the distribution of a matrix
BoxplotTrue side-by-side boxplots from a matrix, with optional reference values
compare.den Compare several density estimates.
compare.densities Compare several density estimates.
compare.many.densities Compare several density estimates.
compare.many.ts Compares several density estimates.
compare.vector.boxplots Boxplots to compare distributions of vectors
CompareDen Compare several density estimates.
CompareDensities Compare several density estimates.
CompareManyDensities Compare several density estimates.
CompareManyTs Compares several density estimates.
CompareVectorBoxplots Boxplots to compare distributions of vectors
DirichletPrior Dirichlet prior for a multinomial distribution
DiscreteUniformPrior Discrete prior distributions
double.model Prior distributions for a real valued scalar
DoubleModel Prior distributions for a real valued scalar
ExternalLegendLayout Add an external legend to an array of plots.
GammaPrior Gamma prior distribution
is.even Check whether a number is even or odd.
is.odd Check whether a number is even or odd.
IsEven Check whether a number is even or odd.
IsOdd Check whether a number is even or odd.
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.
plot.macf Plots individual autocorrelation functions for many-valued time series
plot.many.ts Multiple time series plots
PlotDensityContours Contour plot of a bivariate density.
PlotDynamicDistribution Plots the pointwise evolution of a distribution over an index set.
PlotMacf Plots individual autocorrelation functions for many-valued time series
PlotManyTs Multiple time series plots
PointMassPrior Discrete prior distributions
PoissonPrior Discrete prior distributions
SdPrior Prior for a standard deviation or variance
thin Thin the rows of a matrix
UniformPrior Uniform prior distribution