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detectnorm  

Detect Nonnormality in Meta-Analysis without Raw Data
View on CRAN: Click here


Download and install detectnorm package within the R console
Install from CRAN:
install.packages("detectnorm")

Install from Github:
library("remotes")
install_github("cran/detectnorm")

Install by package version:
library("remotes")
install_version("detectnorm", "1.0.0")



Attach the package and use:
library("detectnorm")
Maintained by
Rongwei Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-16
Latest Update: 2022-07-16
Description:
Non-normality could greatly distort the meta-analytic results, according to the simulation in Sun and Cheung (2020) . This package aims to detect non-normality for two independent groups with only limited descriptive statistics, including mean, standard deviation, minimum, and maximum.
How to cite:
Rongwei Sun (2022). detectnorm: Detect Nonnormality in Meta-Analysis without Raw Data. R package version 1.0.0, https://cran.r-project.org/web/packages/detectnorm. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for detectnorm
Functions, R codes and Examples using the detectnorm R package
Some associated functions: beta_mdat . desbeta . destrunc . detectnorm . rnonnorm . trun_mdat . 
Some associated R codes: beta_mdat.R . dbeta4param.R . desbeta.R . destrunc.R . detectnorm.R . globals.R . rnonnorm.R . trun_mdat.R .  Full detectnorm package functions and examples
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