Authors@R: person("Andrew", "Chapple", email = "Andrew.G.Chapple@rice.edu", role = c("aut", "cre"))

Title: Generate Postestimation Quantities for Bayesian MCMC Estimation
c(person("Johannes", "Karreth", email = "jkarreth@ursinus.edu", role = c("aut")),
person("Shana", "Scogin", email = "shanarscogin@gmail.com", role = c("aut", "cre")),
person("Andreas", "Beger", email = "adbeger@gmail.com", role = c("aut")),
person("Myunghee", "Lee", email = "mlq38@mail.missouri.edu", role = c("ctb")),
person("Neil", "Williams", email = "snpwill@uga.edu", role = c("ctb")))
Description: An implementation of functions to generate and plot postestimation quantities after estimating Bayesian regression models using Markov chain Monte Carlo (MCMC). Functionality includes the estimation of the Precision-Recall curves (see Beger, 2016 <doi:10.2139/ssrn.2765419>), the implementation of the observed values method of calculating predicted probabilities by Hanmer and Kalkan (2013) <doi:10.1111/j.1540-5907.2012.00602.x>, the implementation of the average value method of calculating predicted probabilities (see King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>), and the generation and plotting of first differences to summarize typical effects across covariates (see Long 1997, ISBN:9780803973749; King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>). This package can be used with MCMC output generated by any Bayesian estimation tool including 'JAGS', 'BUGS', 'MCMCpack', and 'Stan'.
Imports: carData, caTools, coda (>= 0.13), dplyr (>= 0.5.0), ggmcmc,
ggplot2, ggridges, R2jags, reshape2, rlang, ROCR, stats, tidyr
Suggests: knitr, MCMCpack, rmarkdown, rstan (>= 2.10.1), rstanarm,
Packaged: 2019-08-02 21:10:33 UTC; shanascogin

ggplot2, ggridges, R2jags, reshape2, rlang, stats, texreg,
Suggests: datasets, knitr, MCMCpack, rjags, rmarkdown, rstan (>=
Packaged: 2019-10-06 00:44:02 UTC; shanascogin
Author: Johannes Karreth [aut] (<https://orcid.org/0000-0003-4586-7153>),
Shana Scogin [aut, cre] (<https://orcid.org/0000-0002-7801-853X>),