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Implement meta-analyses for simultaneously estimating individual means with shrinkage, isotonic regression and pretests. Include our original implementation of the isotonic regression via the pool-adjacent-violators algorithm (PAVA) algorithm. For the pretest estimator, the confidence interval for individual means are provided. Methodologies were published in Taketomi et al. (2021) <doi:10.3390/axioms10040267>, Taketomi et al. (2022) <doi:10.3390/a15010026>, Taketomi et al. (2023-) (under review).
| Version: | 0.1.4 |
| Published: | 2023-09-05 |
| DOI: | 10.32614/CRAN.package.meta.shrinkage |
| Author: | Nanami Taketomi, Takeshi Emura |
| Maintainer: | Nanami Taketomi <nnmamikrn at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | MetaAnalysis |
| CRAN checks: | meta.shrinkage results |
| Reference manual: | meta.shrinkage.pdf |
| Package source: | meta.shrinkage_0.1.4.tar.gz |
| Windows binaries: | r-devel: meta.shrinkage_0.1.4.zip, r-release: meta.shrinkage_0.1.4.zip, r-oldrel: meta.shrinkage_0.1.4.zip |
| macOS binaries: | r-release (arm64): meta.shrinkage_0.1.4.tgz, r-oldrel (arm64): meta.shrinkage_0.1.4.tgz, r-release (x86_64): meta.shrinkage_0.1.4.tgz, r-oldrel (x86_64): meta.shrinkage_0.1.4.tgz |
| Old sources: | meta.shrinkage archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.