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) , Taketomi et al. (2022) , Taketomi et al. (2023-) (under review).