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.

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


Reference manual: lorad.pdf
Vignettes: lorad-gtrig-vignette


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


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