Markov Chain Monte Carlo for HDP-HSMM with a Negative
Binomial outcome distribution
The Dirichlet Distribution
Create an object of class BayesFactor from MCMCpack output
Metropolis Sampling from User-Written R function
The Inverse Wishart Distribution
Markov Chain Monte Carlo for SVD Regression
Markov Chain Monte Carlo for sticky HDP-HMM with a Negative
Binomial outcome distribution
Markov Chain Monte Carlo for the Hidden Markov Random-effects Model
Markov Chain Monte Carlo for the Hierarchical Poisson Linear Regression
Model using the log link function
Markov Chain Monte Carlo for sticky HDP-HMM with a Poisson
outcome distribution
Markov Chain Monte Carlo for a Binary Multiple Changepoint Model
Markov Chain Monte Carlo for the Hierarchical Gaussian Linear Regression
Model
Markov Chain Monte Carlo for Quinn's Dynamic Ecological Inference Model
Markov Chain Monte Carlo for Ordered Probit Regression
Markov Chain Monte Carlo for Wakefield's Hierarchial Ecological Inference
Model
Markov Chain Monte Carlo for Robust K-Dimensional Item Response Theory Model
Markov Chain Monte Carlo for the Hierarchical Binomial Linear Regression
Model using the logit link function
Markov Chain Monte Carlo for K-Dimensional Item Response Theory Model
Markov Chain Monte Carlo for Negative Binomial Regression
Markov Chain Monte Carlo for Ordered Probit Changepoint Regression Model
The Inverse Gamma Distribution
Markov Chain Monte Carlo for Ordinal Data Factor Analysis Model
Markov Chain Monte Carlo for Poisson Regression
Monte Carlo Simulation from a Binomial Likelihood with a Beta Prior
Markov Chain Monte Carlo for One Dimensional Item Response Theory Model
Markov Chain Monte Carlo for Negative Binomial Regression
Changepoint Model
Markov Chain Monte Carlo for Hierarchical One Dimensional Item Response
Theory Model, Covariates Predicting Latent Ideal Point (Ability)
Monte Carlo Simulation from a Multinomial Likelihood with a Dirichlet Prior
Dynamic Tomography Plot
Markov Chain Monte Carlo for Gaussian Linear Regression
Monte Carlo Simulation from a Normal Likelihood (with known variance) with a
Normal Prior
Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model
Monte Carlo Simulation from a Poisson Likelihood with a Gamma Prior
Markov Chain Monte Carlo for a Poisson Regression Changepoint Model
Vector of break numbers
Posterior Density of Regime Change Plot
Markov Chain Monte Carlo for Mixed Data Factor Analysis Model
Markov Chain Monte Carlo for Multinomial Logistic Regression
A Test for the Group-level Break using a Multivariate Linear Regression
Model with Breaks
Posterior Changepoint Probabilities from HDP-HMM
Markov Chain Monte Carlo for Probit Regression
Dutch Voting Behavior in 1989
A Test for the Subject-level Break using a Unitivariate Linear Regression
Model with Breaks
Expand a Vector into a Symmetric Matrix
U.S. Supreme Court Vote Matrix, Rehnquist Court (1994-2004)
Changepoint State Plot
Stochastic search variable selection for quantile regression
Procrustes Transformation
The Noncentral Hypergeometric Distribution
Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model
The Wishart Distribution
MCMCresidualBreakAnalysis
Break Analysis of Univariate Time Series using Markov Chain Monte Carlo
Handle Choice-Specific Covariates in Multinomial Choice Models
Extract Lower Triangular Elements from a Symmetric Matrix
Bayesian quantile regression using Gibbs sampling
Political Economic Risk Data from 62 Countries in 1987
Markov Chain Monte Carlo for Gaussian Linear Regression with a Censored
Dependent Variable
Write a Matrix to a File to be Read by Scythe
Calculate Posterior Probability of Model
Calculate the marginal posterior probabilities of predictors being included
in a quantile regression model.
106th U.S. Senate Roll Call Vote Matrix
U.S. Supreme Court Vote Matrix
Plot output from quantile regression stochastic search variable selection
(QR-SSVS).
Tomography Plot
Read a Matrix from a File written by Scythe
Shows an ordered list of the most frequently visited models sampled during
quantile regression stochastic search variable selection (QR-SSVS).
Summarising the results of quantile regression stochastic search variable
selection (QR-SSVS).
Markov Chain Monte Carlo for the Hidden Markov Fixed-effects Model
Markov Chain Monte Carlo for Dynamic One Dimensional Item Response
Theory Model
Markov Chain Monte Carlo for Logistic Regression
Markov Chain Monte Carlo for Normal Theory Factor Analysis Model