mcmcderive-package: mcmcderive: Derive MCMC Parameters
In mcmcderive: Derive MCMC Parameters
Description
Author(s)
See Also
Description
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>.
Author(s)
Maintainer: Joe Thorley joe@poissonconsulting.ca (ORCID)
Other contributors:
Poisson Consulting [copyright holder, funder]
See Also
Useful links:
-
Report bugs at https://github.com/poissonconsulting/mcmcderive/issues
mcmcderive documentation built on Aug. 6, 2021, 9:06 a.m.
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Description Author(s) See Also
Description
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>.
Author(s)
Maintainer: Joe Thorley joe@poissonconsulting.ca (ORCID)
Other contributors:
Poisson Consulting [copyright holder, funder]
See Also
Useful links:
Report bugs at https://github.com/poissonconsulting/mcmcderive/issues
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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