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'))

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:

Conda:

meta-analysisnon-normality

2.88 score 1 stars 15 scripts 174 downloads 4 exports 35 dependencies

Last updated 4 months agofrom:161ed4fda1. Checks:9 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesFAILApr 01 2025
R-4.5-winERRORApr 01 2025
R-4.5-macERRORApr 01 2025
R-4.5-linuxERRORApr 01 2025
R-4.4-winERRORApr 01 2025
R-4.4-macERRORApr 01 2025
R-4.4-linuxERRORApr 01 2025
R-4.3-winERRORApr 01 2025
R-4.3-macERRORApr 01 2025

Exports:desbetadestruncdetectnormrnonnorm

Dependencies:clicolorspacefansifarverggplot2glueGPArotationgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnleqslvnlmepillarpkgconfigpsychR6rbibutilsRColorBrewerRdpackrlangscalestibbletruncnormutf8vctrsviridisLitewithr