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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 |
| 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 + file LICENSE |
| URL: |
https://github.com/irissun/detectnorm |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
detectnorm results |
Documentation:
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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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