Bayesian Object Oriented Modeling


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Documentation for package ‘Boom’ version 0.9.15

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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