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mcmcderive: Derive MCMC Parameters

Generates derived parameter(s) from Monte Carlo Markov Chain (MCMC) samples using R code. This allows Bayesian models to be fitted without the inclusion of derived parameters which add unnecessary clutter and slow model fitting. For more information on MCMC samples see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.

Version: 0.1.2
Depends: R (≥ 3.5)
Imports: abind, chk, extras, mcmcr, nlist, purrr, universals
Suggests: coda, covr, doParallel, plyr, testthat
Published: 2021-08-06
DOI: 10.32614/CRAN.package.mcmcderive
Author: Joe Thorley ORCID iD [aut, cre], Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe at poissonconsulting.ca>
BugReports: https://github.com/poissonconsulting/mcmcderive/issues
License: MIT + file LICENSE
URL: https://github.com/poissonconsulting/mcmcderive
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: mcmcderive results

Documentation:

Reference manual: mcmcderive.pdf

Downloads:

Package source: mcmcderive_0.1.2.tar.gz
Windows binaries: r-devel: mcmcderive_0.1.2.zip, r-release: mcmcderive_0.1.2.zip, r-oldrel: mcmcderive_0.1.2.zip
macOS binaries: r-release (arm64): mcmcderive_0.1.2.tgz, r-oldrel (arm64): mcmcderive_0.1.2.tgz, r-release (x86_64): mcmcderive_0.1.2.tgz, r-oldrel (x86_64): mcmcderive_0.1.2.tgz
Old sources: mcmcderive archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.