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]

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detectnorm.pdf |detectnorm.html
detectnorm/json (API)
NEWS

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

Peer review:

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:

meta-analysisnon-normality

3.70 score 1 stars 10 scripts 222 downloads 4 exports 35 dependencies

Last updated 2 years agofrom:d02b224781. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winOKNov 09 2024
R-4.4-macOKNov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:desbetadestruncdetectnormrnonnorm

Dependencies:clicolorspacefansifarverggplot2glueGPArotationgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnleqslvnlmepillarpkgconfigpsychR6rbibutilsRColorBrewerRdpackrlangscalestibbletruncnormutf8vctrsviridisLitewithr

Using detectnorm in meta-analysis

Rendered fromdetectnorm.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2022-07-14
Started: 2022-07-11