postpack: Utilities for Processing Posterior Samples Stored in 'mcmc.lists'

The aim of 'postpack' is to provide the infrastructure for a standardized workflow for 'mcmc.list' objects. These objects can be used to store output from models fitted with Bayesian inference using 'JAGS', 'WinBUGS', 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the 'coda' R package provides some methods for these objects, it is somewhat limited in easily performing post-processing tasks for specific nodes. Models are ever increasing in their complexity and the number of tracked nodes, and oftentimes a user may wish to summarize/diagnose sampling behavior for only a small subset of nodes at a time for a particular question or figure. Thus, many 'postpack' functions support performing tasks on a subset of nodes, where the subset is specified with regular expressions. The functions in 'postpack' streamline the extraction, summarization, and diagnostics of specific monitored nodes after model fitting. Further, because there is rarely only ever one model under consideration, 'postpack' scales efficiently to perform the same tasks on output from multiple models simultaneously, facilitating rapid assessment of model sensitivity to changes in assumptions.

Version: 0.5.3
Depends: R (≥ 3.5.0)
Imports: stringr (≥ 1.3.1), coda, mcmcse, abind
Suggests: knitr, rmarkdown
Published: 2021-06-02
Author: Ben Staton ORCID iD [aut, cre]
Maintainer: Ben Staton <statonbe at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: postpack results


Reference manual: postpack.pdf
Vignettes: Example mcmc.lists
Feature Overview
Multiple Models
Pattern Matching
Package source: postpack_0.5.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): postpack_0.5.2.tgz, r-release (x86_64): postpack_0.5.3.tgz, r-oldrel: postpack_0.5.3.tgz
Old sources: postpack archive


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