Package: lorad 0.0.1.0

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.

Authors:Analisa Milkey [aut, cre], Elena Korte [aut], Paul O. Lewis [aut]

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lorad.pdf |lorad.html
lorad/json (API)

# Install 'lorad' in R:
install.packages('lorad', repos = c('https://amilkey1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.09 score 0 dependencies 5 scripts 930 downloads

Last updated 9 months agofrom:97d5408c6f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:lorad_estimatelorad_summary

Dependencies:

bridge-sampling-vignette

Rendered frombridge-sampling.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2023-12-18
Started: 2023-12-18

lorad-gtrig-vignette

Rendered fromLoRaD-gtrig-vignette.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2023-12-18
Started: 2023-12-18

lorad-k80-vignette

Rendered fromlorad-k80-vignette.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2023-12-18
Started: 2023-12-18