meta.shrinkage

cranv0.1.4

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 i

License GPL-2strong copyleft0 versions1 maintainers0 deps77 weekly dl
https://CRAN.R-project.org/package=meta.shrinkage
33
/ 100
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use with caution

[email protected] low health (33/100) — consider alternatives

  • Low health score (33/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2023-09-05 13:33:28

Last updated · 2023-09-05T10:50:02+00:00

meta.shrinkage — Health Score 33/100 | DepScope