Boom0.9.15 package

Function to add horizontal line segments to an existing plot

Normal prior for an AR1 coefficient

Beta prior for a binomial proportion

Boom

Plot the distribution of a matrix

Compare Boxplots to True Values

Checking data formats

Check MCMC Output

Draw Circles

Compare several density estimates.

Compare Dynamic Distributions

Compare several density estimates.

Compares several density estimates.

Boxplots to compare distributions of vectors

DiffDoubleModel

The Dirichlet Distribution

Dirichlet prior for a multinomial distribution

Discrete prior distributions

Multivariate Normal Density

Prior distributions for a real valued scalar

Add an external legend to an array of plots.

Gamma prior distribution

Generate a data frame of all factor data

A Bunch of Histograms

Inverse Wishart Distribution

Inverse Gamma Distribution

Check whether a number is even or odd.

Log Multivariate Gamma Function

Log Integrated Gaussian Likelihood

Lognormal Prior Distribution

Prior for a Markov chain

MatchDataFrame

Scan a Matrix

diagonal MVN prior

Independence prior for the MVN

Multivariate normal prior

Conditional Multivaraite Normal Prior Given Variance

Normal inverse gamma prior

Normal inverse Wishart prior

Normal (scalar Gaussian) prior distribution

Pairs plot for posterior distributions.

Contour plot of a bivariate density.

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

Plots individual autocorrelation functions for many-valued time series

Multiple time series plots

Regression Coefficient Conjugate Prior

Repeated Lists of Objects

Multivariate Normal Simulation

RVectorFunction

Scaled Matrix-Normal Prior

Prior for a standard deviation or variance

Sufficient Statistics

Suggest MCMC Burn-in from Log Likelihood

Thin a Matrix

Thin the rows of a matrix

Time Series Boxplots

Convert to Character String

Trace of the Product of Two Matrices

Uniform prior distribution

Wishart Distribution