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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 MilkeyORCID iD [aut, cre], Elena Korte [aut], Paul O. LewisORCID iD [aut]
Maintainer:Analisa Milkey <analisa.milkey at uconn.edu>
License:MIT + fileLICENSE
NeedsCompilation:no
Citation:lorad citation info
Materials:ChangeLog
CRAN checks:lorad results

Documentation:

Reference manual:lorad.html ,lorad.pdf
Vignettes:lorad-gtrig-vignette (source,R code)
bridge-sampling-vignette (source,R code)
lorad-k80-vignette (source,R code)

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:

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