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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 |
| InvGamma | The Inverse Gamma Distribution |
| InvWishart | The Inverse Wishart Distribution |
| is.BayesFactor | Create an object of class BayesFactor from MCMCpack output |
| MCbinomialbeta | Monte Carlo Simulation from a Binomial Likelihood with a Beta Prior |
| MCMCdynamicEI | Markov Chain Monte Carlo for Quinn's Dynamic Ecological Inference Model |
| MCMCfactanal | Markov Chain Monte Carlo for Normal Theory Factor Analysis Model |
| MCMChierEI | Markov Chain Monte Carlo for Wakefield's Hierarchial Ecological Inference 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 |
| 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 |
| MCMCordfactanal | Markov Chain Monte Carlo for Ordinal Data Factor Analysis Model |
| MCMCpoisson | Markov Chain Monte Carlo for Poisson Regression |
| MCMCpoissonChangepoint | Markov Chain Monte Carlo for a Poisson Multiple Changepoint Model |
| MCMCprobit | Markov Chain Monte Carlo for Probit Regression |
| MCMCregress | Markov Chain Monte Carlo for Gaussian Linear Regression |
| 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 |
| Nethvote | Dutch Voting Behavior in 1989 |
| NoncenHypergeom | The Noncentral Hypergeometric Distribution |
| PErisk | Political Economic Risk Data from 62 Countries in 1987 |
| plotChangepoint | Changepoint Location Plots |
| plotState | Changepoint State Plot |
| PostProbMod | Calculate Posterior Probability of Model |
| procrustes | Procrustes Transformation |
| rdirichlet | The Dirichlet Distribution |
| read.Scythe | Read a Matrix from a File written by Scythe |
| 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 |
| SupremeCourt | U.S. Supreme Court Vote Matrix |
| tomogplot | Tomography Plot |
| 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 |