Package: BayesPostEst 0.4.0

Shana Scogin

BayesPostEst: Generate Postestimation Quantities for Bayesian MCMC Estimation

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'.

Authors:Johannes Karreth [aut], Shana Scogin [aut, cre], Rob Williams [aut], Andreas Beger [aut], Myunghee Lee [ctb], Neil Williams [ctb]

BayesPostEst_0.4.0.tar.gz
BayesPostEst_0.4.0.tar.gz(r-4.7-any)BayesPostEst_0.4.0.tar.gz(r-4.6-any)
BayesPostEst_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesPostEst/json (API)
NEWS

# Install 'BayesPostEst' in R:
install.packages('BayesPostEst', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/shanascogin/bayespostest/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

jagscpp

3.10 score 25 scripts 386 downloads 1 mentions 10 exports 56 dependencies

Last updated from:7e3b3ebad4. Checks:2 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE325
source / vignettesOK364
linux-release-x86_64NOTE273
wasm-releaseOK201

Exports:mcmcAveProbmcmcCoefPlotmcmcFDmcmcFDplotmcmcMargEffmcmcObsProbmcmcRegmcmcRocPrcmcmcRocPrcGenmcmcTab

Dependencies:abindaskpassbitopsbootcarDatacaToolsclicodacpp11curldplyrfarvergenericsggplot2ggridgesgluegplotsgtablegtoolsHDIntervalhttrisobandjsonliteKernSmoothlabelinglatticelifecyclemagrittrmimeopensslpillarpkgconfigplyrpurrrR2jagsR2WinBUGSR6RColorBrewerRcppreshape2rjagsrlangROCRS7scalesstringistringrsystexregtibbletidyrtidyselectutf8vctrsviridisLitewithr

Using the BayesPostEst package

Johannes Karreth, Shana Scogin, Rob Williams, Andreas Beger

Rendered fromgetting_started.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2021-11-11
Started: 2019-08-05