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  [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 |