Package: boutliers 1.1-1

boutliers: Outlier detection and influence diagnostics for meta-analysis

A R package for implementing outlier detection and influence diagnostics for meta-analysis. Bootstrap distributions of the influence statistics are calculated, and the thresholds to determine outliers are clearly provided.

Authors:Hisashi Noma

boutliers_1.1-1.tar.gz
boutliers_1.1-1.zip(r-4.7)boutliers_1.1-1.zip(r-4.6)boutliers_1.1-1.zip(r-4.5)
boutliers_1.1-1.tgz(r-4.6-any)boutliers_1.1-1.tgz(r-4.5-any)
boutliers_1.1-1.tar.gz(r-4.7-any)boutliers_1.1-1.tar.gz(r-4.6-any)
boutliers_1.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
boutliers/json (API)

# Install 'boutliers' in R:
install.packages('boutliers', repos = c('https://nomahi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nomahi/boutliers/issues

Datasets:
  • finasteride - A multicenter clinical trial data assessing the treatment effect of finasteride for benign prostatic hyperplasia
  • PPI - Crocker et al. (2018)'s patient and public involvement (PPI) intervention data
  • SMT - Rubinstein et al. (2019)'s chronic low back pain data

On CRAN:

Conda:

2.70 score 1 stars 294 downloads 7 exports 9 dependencies

Last updated from:8ed46dc15c. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING351
source / vignettesOK182
linux-release-x86_64WARNING340
macos-release-arm64WARNING285
macos-oldrel-arm64WARNING219
windows-develWARNING368
windows-releaseWARNING362
windows-oldrelWARNING342
wasm-releaseOK106

Exports:convert_binconvert_meanLRTLRT_FESTRSTR_FEVRATIO

Dependencies:digestlatticemathjaxrMatrixmetadatmetafornlmenumDerivpbapply