Man pages for Boom
Bayesian Object Oriented Modeling
| add.segments | Function to add horizontal line segments to an existing plot |
| ar1.coefficient.prior | Normal prior for an AR1 coefficient |
| beta.prior | Beta prior for a binomial proportion |
| boxplot.mcmc.matrix | Plot the distribution of a matrix |
| boxplot.true | Compare Boxplots to True Values |
| check | Check MCMC Output |
| check.data | Checking data formats |
| circles | Draw Circles |
| compare.den | Compare several density estimates. |
| compare.dynamic.distributions | Compare Dynamic Distributions |
| compare.many.densities | Compare several density estimates. |
| compare.many.ts | Compares several density estimates. |
| compare.vector.distributions | Boxplots to compare distributions of vectors |
| diff.double.model | DiffDoubleModel |
| dirichlet-distribution | The Dirichlet Distribution |
| dirichlet.prior | Dirichlet prior for a multinomial distribution |
| discrete-uniform-prior | Discrete prior distributions |
| dmvn | Multivariate Normal Density |
| double.model | Prior distributions for a real valued scalar |
| external.legend | Add an external legend to an array of plots. |
| gamma.prior | Gamma prior distribution |
| generate_factor_data | Generate a data frame of all factor data |
| histabunch | A Bunch of Histograms |
| inverse-wishart | Inverse Wishart Distribution |
| invgamma | Inverse Gamma Distribution |
| is.even | Check whether a number is even or odd. |
| lmgamma | Log Multivariate Gamma Function |
| log.integrated.gaussian.likelihood | Log Integrated Gaussian Likelihood |
| lognormal.prior | Lognormal Prior Distribution |
| markov.prior | Prior for a Markov chain |
| match_data_frame | MatchDataFrame |
| mscan | Scan a Matrix |
| mvn.diagonal.prior | diagonal MVN prior |
| MvnGivenSigmaMatrixPrior | Conditional Multivaraite Normal Prior Given Variance |
| mvn.independent.sigma.prior | Independence prior for the MVN |
| mvn.prior | Multivariate normal prior |
| normal.inverse.gamma.prior | Normal inverse gamma prior |
| normal.inverse.wishart.prior | Normal inverse Wishart prior |
| normal.prior | Normal (scalar Gaussian) prior distribution |
| pairs.density | Pairs plot for posterior distributions. |
| plot.density.contours | Contour plot of a bivariate density. |
| plot.dynamic.distribution | Plots the pointwise evolution of a distribution over an index... |
| plot.macf | Plots individual autocorrelation functions for many-valued... |
| plot.many.ts | Multiple time series plots |
| regression.coefficient.conjugate.prior | Regression Coefficient Conjugate Prior |
| replist | Repeated Lists of Objects |
| rmvn | Multivariate Normal Simulation |
| rvectorfunction | RVectorFunction |
| scaled.matrix.normal.prior | Scaled Matrix-Normal Prior |
| sd.prior | Prior for a standard deviation or variance |
| sufstat | Sufficient Statistics |
| suggest.burn.log.likelihood | Suggest MCMC Burn-in from Log Likelihood |
| thin | Thin the rows of a matrix |
| thin.matrix | Thin a Matrix |
| timeseries.boxplot | Time Series Boxplots |
| ToString | Convert to Character String |
| traceproduct | Trace of the Product of Two Matrices |
| uniform.prior | Uniform prior distribution |
| wishart | Wishart Distribution |
