10.5281/zenodo.3464224
https://zenodo.org/records/3464224
oai:zenodo.org:3464224
Shana Scogin
Shana Scogin
0000-0002-7801-853X
University of Notre Dame
Johannes Karreth
Johannes Karreth
0000-0003-4586-7153
Ursinus College
Andreas Beger
Andreas Beger
0000-0003-1883-3169
Predictive Heuristics
Rob Williams
Rob Williams
0000-0001-9259-3883
Washington University in St. Louis
BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation
Zenodo
2019
2019-09-29
https://github.com/ShanaScogin/BayesPostEst
10.5281/zenodo.3464071
10.5281/zenodo.3464223
v0.1.0
Creative Commons Attribution 4.0 International
BayesPostEst is an R package with convenience functions to generate and present quantities of interest after estimating Bayesian regression models fit using MCMC. Quantities of interest include predicted probabilities and changes in probabilities in generalized linear models and analyses of model fit using ROC curves and precision-recall curves. The package also contains two functions to create publication-ready tables summarizing model results with an assessment of substantively meaningful effect sizes.
This is an archive for a paper published in the Journal of Open Source Software to accompany this version of the R package BayesPostEst.