Function reference • BayesPostEst

All functions
`BayesPostEst`	BayesPostEst Overview
`jags_interactive`	Fitted JAGS interactive linear model
`jags_interactive_cat`	Fitted JAGS interactive linear model with categorical moderator
`jags_logit`	Fitted JAGS logit model
`jags_probit`	Fitted JAGS probit model
`mcmcAveProb()`	Predicted Probabilities using Bayesian MCMC estimates for the "Average" Case
`mcmcCoefPlot()`	Coefficient Plots for MCMC Output
`mcmcFD()`	First Differences of a Bayesian Logit or Probit model
`mcmcMargEff()`	Marginal Effects Plots for MCMC Output
`mcmcObsProb()`	Predicted Probabilities using Bayesian MCMC estimates for the Average of Observed Cases
`mcmcReg()`	LaTeX or HTML regression tables for MCMC Output
`print(<mcmcRocPrc>)` `plot(<mcmcRocPrc>)` `as.data.frame(<mcmcRocPrc>)` `mcmcRocPrc()`	ROC and Precision-Recall Curves using Bayesian MCMC estimates
`mcmcRocPrcGen()`	ROC and Precision-Recall Curves using Bayesian MCMC estimates generalized
`mcmcTab()`	Summarize Bayesian MCMC Output R function for summarizing MCMC output in a regression-style table.
`plot(<mcmcFD>)`	Plot Method for First Differences from MCMC output
`sim_data`	Simulated data for examples
`sim_data_interactive`	Simulated data for examples
`sim_data_interactive_cat`	Simulated data for examples

Reference