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Boom (version 0.8)

Bayesian Object Oriented Modeling

Description

A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.

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Version

Install

install.packages('Boom')

Monthly Downloads

2,253

Version

0.8

License

LGPL-2.1 | file LICENSE

Maintainer

Steven Scott

Last Published

April 29th, 2018

Functions in Boom (0.8)

lognormal.prior

Lognormal Prior Distribution
gamma.prior

Gamma prior distribution
mvn.diagonal.prior

diagonal MVN prior
ToString

Convert to Character String
add.segments

Function to add horizontal line segments to an existing plot
external.legend

Add an external legend to an array of plots.
markov.prior

Prior for a Markov chain
mvn.independent.sigma.prior

Independence prior for the MVN
sufstat.Rd

Sufficient Statistics
wishart

Wishart Distribution
thin.matrix

Thin a Matrix
TimeSeriesBoxplot

Time Series Boxplots
thin

Thin the rows of a matrix
plot.dynamic.distribution

Plots the pointwise evolution of a distribution over an index set.
is.even

Check whether a number is even or odd.
boxplot.mcmc.matrix

Plot the distribution of a matrix
histabunch

A Bunch of Histograms
discrete-uniform-prior

Discrete prior distributions
normal.prior

Normal (scalar Gaussian) prior distribution
boxplot.true

Compare Boxplots to True Values
lmgamma

Log Multivariate Gamma Function
compare.den

Compare several density estimates.
compare.dynamic.distributions

Compare Dynamic Distributions
mscan

Scan a Matrix
dirichlet.prior

Dirichlet prior for a multinomial distribution
compare.many.densities

Compare several density estimates.
compare.many.ts

Compares several density estimates.
suggest.burn.log.likelihood

Suggest MCMC Burn-in from Log Likelihood
traceproduct

Trace of the Product of Two Matrices
replist

Repeated Lists of Objects
ar1.coefficient.prior

Normal prior for an AR1 coefficient
beta.prior

Beta prior for a binomial proportion
plot.macf

Plots individual autocorrelation functions for many-valued time series
compare.vector.distribution

Boxplots to compare distributions of vectors
uniform.prior

Uniform prior distribution
plot.density.contours

Contour plot of a bivariate density.
GenerateFactorData

Generate a data frame of all factor data
pairs.density

Pairs plot for posterior distributions.
sd.prior

Prior for a standard deviation or variance
dirichlet-distribution

The Dirichlet Distribution
match_data_frame

MatchDataFrame
rmvn

Multivariate Normal Simulation
normal.inverse.wishart.prior

Normal inverse Wishart prior
regression.coefficient.conjugate.prior

Regression Coefficient Conjugate Prior
mvn.prior

Multivariate normal prior
plot.many.ts

Multiple time series plots
check

Check MCMC Output
inverse-wishart

Inverse Wishart Distribution
check.data

Checking data formats
dmvn

Multivariate Normal Density
double.model

Prior distributions for a real valued scalar
normal.inverse.gamma.prior

Normal inverse gamma prior
invgamma

Inverse Gamma Distribution