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.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: nleqslv, ggplot2, truncnorm, Rdpack, psych
Suggests: knitr, metafor (≥ 3.4-0), rmarkdown, testthat (≥ 3.0.0)
Published: 2022-07-16
DOI: 10.32614/CRAN.package.detectnorm
Author: Rongwei Sun ORCID iD [aut, cre, cph], Shu Fai Cheung ORCID iD [aut, ctb, cph]
Maintainer: Rongwei Sun <irissun_s at hotmail.com>
BugReports: https://github.com/irissun/detectnorm/issues
License: MIT + file LICENSE
URL: https://github.com/irissun/detectnorm
NeedsCompilation: no
Materials: README
CRAN checks: detectnorm results

Documentation:

Reference manual: detectnorm.html , detectnorm.pdf
Vignettes: Using detectnorm in meta-analysis (source, R code)

Downloads:

Package source: detectnorm_1.0.0.tar.gz
Windows binaries: r-devel: detectnorm_1.0.0.zip, r-release: detectnorm_1.0.0.zip, r-oldrel: detectnorm_1.0.0.zip
macOS binaries: r-release (arm64): detectnorm_1.0.0.tgz, r-oldrel (arm64): detectnorm_1.0.0.tgz, r-release (x86_64): detectnorm_1.0.0.tgz, r-oldrel (x86_64): detectnorm_1.0.0.tgz

Linking:

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