The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

lorad: Lowest Radial Distance Method of Marginal Likelihood Estimation

Estimates marginal likelihood from a posterior sample using the method described in Wang et al. (2023) <doi:10.1093/sysbio/syad007>, which does not require evaluation of any additional points and requires only the log of the unnormalized posterior density for each sampled parameter vector.

Version: 0.0.1.0
Depends: R (≥ 3.0)
Imports: stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0), rstan (≥ 2.32), bridgesampling (≥ 1.1)
Published: 2023-12-17
DOI: 10.32614/CRAN.package.lorad
Author: Analisa Milkey ORCID iD [aut, cre], Elena Korte [aut], Paul O. Lewis ORCID iD [aut]
Maintainer: Analisa Milkey <analisa.milkey at uconn.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: lorad citation info
Materials: ChangeLog
CRAN checks: lorad results

Documentation:

Reference manual: lorad.pdf
Vignettes: lorad-gtrig-vignette
bridge-sampling-vignette
lorad-k80-vignette

Downloads:

Package source: lorad_0.0.1.0.tar.gz
Windows binaries: r-devel: lorad_0.0.1.0.zip, r-release: lorad_0.0.1.0.zip, r-oldrel: lorad_0.0.1.0.zip
macOS binaries: r-release (arm64): lorad_0.0.1.0.tgz, r-oldrel (arm64): lorad_0.0.1.0.tgz, r-release (x86_64): lorad_0.0.1.0.tgz, r-oldrel (x86_64): lorad_0.0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lorad to link to this page.

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.
Health stats visible at Monitor.