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 |
| DOI: | 10.32614/CRAN.package.SAMprior |
| Author: | Peng Yang  [aut,
cre],
Ying Yuan [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-devel: SAMprior_1.1.1.zip, r-release: SAMprior_1.1.1.zip, r-oldrel: SAMprior_1.1.1.zip |
| macOS binaries: | r-release (arm64): SAMprior_1.1.1.tgz, r-oldrel (arm64): SAMprior_1.1.1.tgz, r-release (x86_64): SAMprior_1.1.1.tgz, r-oldrel (x86_64): SAMprior_1.1.1.tgz |
| Old sources: | SAMprior archive |
Linking:
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