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).
- Version0.1.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Taketomi et al. (2021)
- Taketomi et al. (2022)
- Last release09/05/2023
Documentation
Team
Nanami Taketomi
Takeshi Emura
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