# Generate Postestimation Quantities for Bayesian MCMC Estimation

## Documentation for package ‘BayesPostEst’ version 0.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

BayesPostEst-package | BayesPostEst
BayesPostEst | BayesPostEst
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
mcmcFDplot | Plot First Differences from MCMC output
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
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.
sim_data | Simulated data for examples
sim_data_interactive | Simulated data for examples
sim_data_interactive_cat | Simulated data for examples