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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 |
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 |
Reference manual: | detectnorm.pdf |
Vignettes: |
Using detectnorm in meta-analysis |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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