Published September 29, 2019
| Version v0.1.0
Software
Open
BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation
- 1. University of Notre Dame
- 2. Ursinus College
- 3. Predictive Heuristics
- 4. Washington University in St. Louis
Description
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.
Notes
Files
BayesPostEst_JOSS_accepted_paper.pdf
Files
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Additional details
Related works
- Is identical to
- 10.5281/zenodo.3464071 (DOI)
- Is supplement to
- https://github.com/ShanaScogin/BayesPostEst (URL)