| 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 |
| Euro2016 |
Euro 2016 data |
| HDPHMMnegbin |
Markov Chain Monte Carlo for sticky HDP-HMM with a Negative Binomial outcome distribution |
| HDPHMMpoisson |
Markov Chain Monte Carlo for sticky HDP-HMM with a Poisson outcome distribution |
| HDPHSMMnegbin |
Markov Chain Monte Carlo for HDP-HSMM with a Negative Binomial outcome 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 |
| 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 |
| MCMCnegbin |
Markov Chain Monte Carlo for Negative Binomial Regression |
| MCMCnegbinChange |
Markov Chain Monte Carlo for Negative Binomial Regression Changepoint Model |
| 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 |
| MCMCpaircompare |
Markov Chain Monte Carlo for a Pairwise Comparisons Model with Probit Link |
| MCMCpaircompare2d |
Markov Chain Monte Carlo for the Two-Dimensional Pairwise Comparisons Model in Yu and Quinn (2021) |
| MCMCpaircompare2dDP |
Markov Chain Monte Carlo for the Two-Dimensional Pairwise Comparisons Model with Dirichlet Process Prior in Yu and Quinn (2021) |
| 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 |
| MCMCregressChange |
Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model |
| 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 |
| plotHDPChangepoint |
Posterior Changepoint Probabilities from HDP-HMM |
| 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). |
| summaryqrssvs |
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 |
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