Package: detectnorm 1.0.0.9000

detectnorm: Detect Nonnormality in Meta-Analysis without Raw Data

Non-normality could greatly distort the meta-analytic results, according to the simulation in Sun and Cheung (2020) <doi:10.3758/s13428-019-01334-x>. This package aims to detect non-normality for two independent groups with only limited descriptive statistics, including mean, standard deviation, minimum, and maximum.

Authors:Rongwei Sun [aut, cre, cph], Shu Fai Cheung [aut, ctb, cph]

detectnorm_1.0.0.9000.tar.gz
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detectnorm_1.0.0.9000.tgz(r-4.6-any)detectnorm_1.0.0.9000.tgz(r-4.5-any)
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detectnorm_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
detectnorm/json (API)

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

Bug tracker:https://github.com/irissun/detectnorm/issues

Datasets:
  • beta_mdat - Example meta-analysis: Extremely Non-normal Data
  • trun_mdat - Example meta-analysis: Truncated Normal Data

On CRAN:

Conda:

meta-analysisnon-normality

2.90 score 1 stars 16 scripts 236 downloads 4 exports 26 dependencies

Last updated from:161ed4fda1. Checks:8 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR138
source / vignettesERROR168
linux-release-x86_64ERROR130
macos-release-arm64ERROR106
macos-oldrel-arm64ERROR147
windows-develERROR120
windows-releaseERROR88
windows-oldrelERROR117
wasm-releaseOK113

Exports:desbetadestruncdetectnormrnonnorm

Dependencies:clicpp11farverggplot2glueGPArotationgtableisobandlabelinglatticelifecyclemnormtnleqslvnlmepsychR6rbibutilsRColorBrewerRdpackrlangS7scalestruncnormvctrsviridisLitewithr