Package: BayesPostEst
Type: Package
Title: Generate Postestimation Quantities for Bayesian MCMC Estimation
Version: 0.2.1
Date: 2020-05-27
Authors@R: 
    c(person("Johannes", 
             "Karreth", 
             email = "jkarreth@ursinus.edu", 
             role = c("aut"),
             comment = c(ORCID = "0000-0003-4586-7153")),
      person("Shana", 
             "Scogin", 
             email = "shanarscogin@gmail.com", 
             role = c("aut", "cre"),
             comment = c(ORCID = "0000-0002-7801-853X")),
      person("Rob", 
             "Williams", 
             email = "jayrobwilliams@gmail.com", 
             role = c("aut"),
             comment = c(ORCID = "0000-0001-9259-3883")),
      person("Andreas", 
             "Beger", 
             email = "adbeger@gmail.com", 
             role = c("aut"),
             comment = c(ORCID = "0000-0003-1883-3169")),
      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'.
URL: https://github.com/ShanaScogin/BayesPostEst
BugReports: https://github.com/ShanaScogin/BayesPostEst/issues
License: GPL-3
Imports: carData, caTools, coda (>= 0.13), dplyr (>= 0.5.0), ggmcmc,
        ggplot2, ggridges, R2jags, reshape2, rlang, stats, texreg,
        runjags, tidyr (>= 0.5.1), HDInterval, ROCR
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: TRUE
LazyLoad: TRUE
Suggests: datasets, knitr, MCMCpack, rjags, rmarkdown, rstan (>=
        2.10.1), rstanarm, testthat, covr
VignetteBuilder: knitr
RoxygenNote: 6.1.1
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
NeedsCompilation: no
Packaged: 2020-05-27 19:56:24 UTC; shanascogin
Author: Johannes Karreth [aut] (<https://orcid.org/0000-0003-4586-7153>),
  Shana Scogin [aut, cre] (<https://orcid.org/0000-0002-7801-853X>),
  Rob Williams [aut] (<https://orcid.org/0000-0001-9259-3883>),
  Andreas Beger [aut] (<https://orcid.org/0000-0003-1883-3169>),
  Myunghee Lee [ctb],
  Neil Williams [ctb]
Maintainer: Shana Scogin <shanarscogin@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-28 23:50:02 UTC
Built: R 4.1.0; ; 2020-08-03 14:53:32 UTC; windows
