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meta.shrinkage

Meta-Analyses for Simultaneously Estimating Individual Means

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).

Versions across snapshots

VersionRepositoryFileSize
0.1.4 rolling linux/jammy R-4.5 meta.shrinkage_0.1.4.tar.gz 25.3 KiB
0.1.4 rolling linux/noble R-4.5 meta.shrinkage_0.1.4.tar.gz 25.3 KiB
0.1.4 rolling source/ R- meta.shrinkage_0.1.4.tar.gz 4.7 KiB
0.1.4 latest linux/jammy R-4.5 meta.shrinkage_0.1.4.tar.gz 25.3 KiB
0.1.4 latest linux/noble R-4.5 meta.shrinkage_0.1.4.tar.gz 25.3 KiB
0.1.4 latest source/ R- meta.shrinkage_0.1.4.tar.gz 4.7 KiB
0.1.4 2026-04-26 source/ R- meta.shrinkage_0.1.4.tar.gz 4.7 KiB
0.1.4 2026-04-23 source/ R- meta.shrinkage_0.1.4.tar.gz 4.7 KiB
0.1.4 2026-04-09 windows/windows R-4.5 meta.shrinkage_0.1.4.zip 28.4 KiB
0.1.4 2025-04-20 source/ R- meta.shrinkage_0.1.4.tar.gz 4.7 KiB