Package: meta.shrinkage 0.1.4
Nanami Taketomi
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).
Authors:
meta.shrinkage_0.1.4.tar.gz
meta.shrinkage_0.1.4.tar.gz(r-4.7-any)meta.shrinkage_0.1.4.tar.gz(r-4.6-any)
meta.shrinkage_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
meta.shrinkage/json (API)
| # Install 'meta.shrinkage' in R: |
| install.packages('meta.shrinkage', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:65d3622f36. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 95 | ||
| source / vignettes | OK | 161 | ||
| linux-release-x86_64 | OK | 91 | ||
| wasm-release | OK | 89 |
Dependencies:
