meta.shrinkage (version 0.1.4)
Meta-Analyses for Simultaneously Estimating Individual Means
Description
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) , Taketomi et al. (2022) ,
Taketomi et al. (2023-) (under review).