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 [aut, cre, cph], Shu Fai Cheung [aut, ctb, cph] |
| Maintainer: | Rongwei Sun <irissun_s at hotmail.com> |
| BugReports: | https://github.com/irissun/detectnorm/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/irissun/detectnorm |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | detectnorm results |
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