# Bayesian Object Oriented Modeling

## Documentation for package ‘Boom’ version 0.7

- DESCRIPTION file.

## 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
check.data | Checking data formats
check.nonnegative.scalar | Checking data formats
check.positive.scalar | Checking data formats
check.probability.distribution | Checking data formats
check.scalar.integer | Checking data formats
check.scalar.probability | Checking data formats
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.
CompareDynamicDistributions | Compare Dynamic Distributions
CompareManyDensities | Compare several density estimates.
CompareManyTs | Compares several density estimates.
CompareVectorBoxplots | Boxplots to compare distributions of vectors
ddirichlet | The Dirichlet Distribution
dInverseWishart | Inverse Wishart Distribution
DirichletPrior | Dirichlet prior for a multinomial distribution
DiscreteUniformPrior | Discrete prior distributions
dmvn | Multivariate Normal Density
double.model | Prior distributions for a real valued scalar
DoubleModel | Prior distributions for a real valued scalar
dWishart | Wishart Distribution
ExternalLegendLayout | Add an external legend to an array of plots.
GammaPrior | Gamma prior distribution
GenerateFactorData | Generate a data frame of all factor data
histabunch | A Bunch of Histograms
InverseWishartPrior | Inverse Wishart 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.
lmgamma | Log Multivariate Gamma Function
LognormalPrior | Lognormal Prior Distribution
MarkovPrior | Prior for a Markov chain
MatchDataFrame | MatchDataFrame
mscan | Scan a Matrix
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
rdirichlet | The Dirichlet Distribution
RegressionCoefficientConjugatePrior | Regression Coefficient Conjugate Prior
RegressionSuf | Sufficient Statistics
rmvn | Multivariate Normal Simulation
rWishart | Wishart Distribution
SdPrior | Prior for a standard deviation or variance
SuggestBurnLogLikelihood | Suggest MCMC Burn-in from Log Likelihood
thin | Thin the rows of a matrix
ThinMatrix | Thin a Matrix
TimeSeriesBoxplot | Time Series Boxplots
ToString | Convert to Character String
ToString.default | Convert to Character String
ToString.table | Convert to Character String
TraceProduct | Trace of the Product of Two Matrices
TruncatedGammaPrior | Gamma prior distribution
UniformPrior | Uniform prior distribution