R: Bayesian Object Oriented Modeling

# Bayesian Object Oriented Modeling

## Documentation for package ‘Boom’ version 0.9.15

- DESCRIPTION file.

## Help Pages

Boom-package | Boom
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
Boom | Boom
boxplot.mcmc.matrix | Plot the distribution of a matrix
boxplot.true | Compare Boxplots to True Values
BoxplotMcmcMatrix | Plot the distribution of a matrix
BoxplotTrue | Compare Boxplots to True 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.boolean | Checking data formats
check.scalar.integer | Checking data formats
check.scalar.probability | Checking data formats
CheckMcmcMatrix | Check MCMC Output
CheckMcmcVector | Check MCMC Output
circles | Draw Circles
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
DiffDoubleModel | DiffDoubleModel
dInverseWishart | Inverse Wishart Distribution
dinvgamma | Inverse Gamma 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
GaussianSuf | Sufficient Statistics
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
LogIntegratedGaussianLikelihood | Log Integrated Gaussian Likelihood
LognormalPrior | Lognormal Prior Distribution
MarkovPrior | Prior for a Markov chain
MatchDataFrame | MatchDataFrame
McmcMatrixReport | Check MCMC Output
mscan | Scan a Matrix
MvnDiagonalPrior | diagonal MVN prior
MvnGivenSigmaMatrixPrior | Conditional Multivaraite Normal Prior Given Variance
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.
pinvgamma | Inverse Gamma Distribution
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
qinvgamma | Inverse Gamma Distribution
rdirichlet | The Dirichlet Distribution
RegressionCoefficientConjugatePrior | Regression Coefficient Conjugate Prior
RegressionSuf | Sufficient Statistics
RepList | Repeated Lists of Objects
rinvgamma | Inverse Gamma Distribution
rmvn | Multivariate Normal Simulation
RVectorFunction | RVectorFunction
rWishart | Wishart Distribution
ScaledMatrixNormalPrior | Scaled Matrix-Normal Prior
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