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| BayesFactor | Create an object of class BayesFactor from MCMCpack output |
| choicevar | Handle Choice-Specific Covariates in Multinomial Choice Models |
| ddirichlet | The Dirichlet Distribution |
| dinvgamma | The Inverse Gamma Distribution |
| Dirichlet | The Dirichlet Distribution |
| diwish | The Inverse Wishart Distribution |
| dnoncenhypergeom | The Noncentral Hypergeometric Distribution |
| dtomogplot | Dynamic Tomography Plot |
| dwish | The Wishart Distribution |
| HMMpanelFE | Markov Chain Monte Carlo for the Hidden Markov Fixed-effects Model |
| HMMpanelRE | Markov Chain Monte Carlo for the Hidden Markov Random-effects Model |
| InvGamma | The Inverse Gamma Distribution |
| InvWishart | The Inverse Wishart Distribution |
| is.BayesFactor | Create an object of class BayesFactor from MCMCpack output |
| make.breaklist | Vector of break numbers |
| MCbinomialbeta | Monte Carlo Simulation from a Binomial Likelihood with a Beta Prior |
| MCMCbinaryChange | Markov Chain Monte Carlo for a Binary Multiple Changepoint Model |
| MCMCdynamicEI | Markov Chain Monte Carlo for Quinn's Dynamic Ecological Inference Model |
| MCMCdynamicIRT1d | Markov Chain Monte Carlo for Dynamic One Dimensional Item Response Theory Model |
| MCMCdynamicIRT1d_b | Markov Chain Monte Carlo for Dynamic One Dimensional Item Response Theory Model |
| MCMCfactanal | Markov Chain Monte Carlo for Normal Theory Factor Analysis Model |
| MCMChierEI | Markov Chain Monte Carlo for Wakefield's Hierarchial Ecological Inference Model |
| MCMChlogit | Markov Chain Monte Carlo for the Hierarchical Binomial Linear Regression Model using the logit link function |
| MCMChpoisson | Markov Chain Monte Carlo for the Hierarchical Poisson Linear Regression Model using the log link function |
| MCMChregress | Markov Chain Monte Carlo for the Hierarchical Gaussian Linear Regression Model |
| MCMCirt1d | Markov Chain Monte Carlo for One Dimensional Item Response Theory Model |
| MCMCirtHier1d | Markov Chain Monte Carlo for Hierarchical One Dimensional Item Response Theory Model, Covariates Predicting Latent Ideal Point (Ability) |
| MCMCirtKd | Markov Chain Monte Carlo for K-Dimensional Item Response Theory Model |
| MCMCirtKdHet | Markov Chain Monte Carlo for Heteroskedastic K-Dimensional Item Response Theory Model |
| MCMCirtKdRob | Markov Chain Monte Carlo for Robust K-Dimensional Item Response Theory Model |
| MCMClogit | Markov Chain Monte Carlo for Logistic Regression |
| MCMCmetrop1R | Metropolis Sampling from User-Written R function |
| MCMCmixfactanal | Markov Chain Monte Carlo for Mixed Data Factor Analysis Model |
| MCMCmnl | Markov Chain Monte Carlo for Multinomial Logistic Regression |
| MCMCoprobit | Markov Chain Monte Carlo for Ordered Probit Regression |
| MCMCoprobitChange | Markov Chain Monte Carlo for Ordered Probit Changepoint Regression Model |
| MCMCordfactanal | Markov Chain Monte Carlo for Ordinal Data Factor Analysis Model |
| MCMCpoisson | Markov Chain Monte Carlo for Poisson Regression |
| MCMCpoissonChange | Markov Chain Monte Carlo for a Poisson Regression Changepoint Model |
| MCMCprobit | Markov Chain Monte Carlo for Probit Regression |
| MCMCprobitChange | Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model |
| MCMCquantreg | Bayesian quantile regression using Gibbs sampling |
| MCMCregress | Markov Chain Monte Carlo for Gaussian Linear Regression |
| MCMCresidualBreakAnalysis | Break Analysis of Univariate Time Series using Markov Chain Monte Carlo |
| MCMCSVDreg | Markov Chain Monte Carlo for SVD Regression |
| MCMCtobit | Markov Chain Monte Carlo for Gaussian Linear Regression with a Censored Dependent Variable |
| MCmultinomdirichlet | Monte Carlo Simulation from a Multinomial Likelihood with a Dirichlet Prior |
| MCnormalnormal | Monte Carlo Simulation from a Normal Likelihood (with known variance) with a Normal Prior |
| MCpoissongamma | Monte Carlo Simulation from a Poisson Likelihood with a Gamma Prior |
| mptable | Calculate the marginal posterior probabilities of predictors being included in a quantile regression model. |
| Nethvote | Dutch Voting Behavior in 1989 |
| NoncenHypergeom | The Noncentral Hypergeometric Distribution |
| PErisk | Political Economic Risk Data from 62 Countries in 1987 |
| plot.qrssvs | Plot output from quantile regression stochastic search variable selection (QR-SSVS). |
| plotChangepoint | Posterior Density of Regime Change Plot |
| plotState | Changepoint State Plot |
| PostProbMod | Calculate Posterior Probability of Model |
| print.summary.qrssvs | Summarising the results of quantile regression stochastic search variable selection (QR-SSVS). |
| procrustes | Procrustes Transformation |
| rdirichlet | The Dirichlet Distribution |
| read.Scythe | Read a Matrix from a File written by Scythe |
| Rehnquist | U.S. Supreme Court Vote Matrix, Rehnquist Court (1994-2004) |
| rinvgamma | The Inverse Gamma Distribution |
| riwish | The Inverse Wishart Distribution |
| rnoncenhypergeom | The Noncentral Hypergeometric Distribution |
| rwish | The Wishart Distribution |
| Senate | 106th U.S. Senate Roll Call Vote Matrix |
| SSVSquantreg | Stochastic search variable selection for quantile regression |
| summary.qrssvs | Summarising the results of quantile regression stochastic search variable selection (QR-SSVS). |
| SupremeCourt | U.S. Supreme Court Vote Matrix |
| testpanelGroupBreak | A Test for the Group-level Break using a Multivariate Linear Regression Model with Breaks |
| testpanelSubjectBreak | A Test for the Subject-level Break using a Unitivariate Linear Regression Model with Breaks |
| tomogplot | Tomography Plot |
| topmodels | Shows an ordered list of the most frequently visited models sampled during quantile regression stochastic search variable selection (QR-SSVS). |
| vech | Extract Lower Triangular Elements from a Symmetric Matrix |
| Wishart | The Wishart Distribution |
| write.Scythe | Write a Matrix to a File to be Read by Scythe |
| xpnd | Expand a Vector into a Symmetric Matrix |