Bayesian Object Oriented Modeling
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Documentation for package ‘Boom’ version 0.9.15
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 |