SAMprior: Self-Adapting Mixture (SAM) Priors

Implementation of the SAM prior and generation of its operating characteristics for dynamically borrowing information from historical data. For details, please refer to Yang et al. (2023) <doi:10.1111/biom.13927>.

Version: 1.1.1
Depends: RBesT, assertthat, checkmate, Metrics, ggplot2
Suggests: rmarkdown, knitr, testthat (≥ 2.0.0), foreach, purrr, rstanarm (≥ 2.17.2), scales, tools, broom, tidyr, parallel
Published: 2023-09-27
Author: Peng Yang ORCID iD [aut, cre], Ying Yuan ORCID iD [aut]
Maintainer: Peng Yang <py11 at rice.edu>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: SAMprior results

Documentation:

Reference manual: SAMprior.pdf
Vignettes: Getting started with SAMprior (binary)
Getting started with SAMprior (continuous)

Downloads:

Package source: SAMprior_1.1.1.tar.gz
Windows binaries: r-prerel: SAMprior_1.1.1.zip, r-release: SAMprior_1.1.1.zip, r-oldrel: SAMprior_1.1.1.zip
macOS binaries: r-prerel (arm64): SAMprior_1.1.1.tgz, r-release (arm64): SAMprior_1.1.1.tgz, r-oldrel (arm64): SAMprior_1.1.1.tgz, r-prerel (x86_64): SAMprior_1.1.1.tgz, r-release (x86_64): SAMprior_1.1.1.tgz
Old sources: SAMprior archive

Linking:

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