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).
Version: |
0.1.4 |
Published: |
2023-09-05 |
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 |
Documentation:
Downloads:
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