[aut,
cre],
Poisson Consulting [cph, fnd]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: | 0.1.0 |
| Depends: | R (≥ 3.5) |
| Imports: | chk, abind, universals, extras, term, nlist, mcmcr (≥ 0.3.0), purrr |
| Suggests: | covr, coda, plyr, doParallel, testthat |
| Published: | 2020-07-16 |
| Author: | Joe Thorley [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 |
| Reference manual: | mcmcderive.pdf |
| Package source: | mcmcderive_0.1.0.tar.gz |
| Windows binaries: | r-devel: mcmcderive_0.1.0.zip, r-release: mcmcderive_0.1.0.zip, r-oldrel: mcmcderive_0.1.0.zip |
| macOS binaries: | r-release: mcmcderive_0.1.0.tgz, r-oldrel: mcmcderive_0.1.0.tgz |
| Old sources: | mcmcderive archive |
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