Other packages > Find by keyword >

metansue  

Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("metansue", "2.6")



Attach the package and use:
library("metansue")
Maintained by
Joaquim Radua
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-11
Latest Update: 2024-08-22
Description:
Novel method to unbiasedly include studies with Non-statistically Significant Unreported Effects (NSUEs) in a meta-analysis. First, the method calculates the interval where the unreported effects (e.g., t-values) should be according to the threshold of statistical significance used in each study. Afterwards, the method uses maximum likelihood techniques to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance, and statistical significance bounds. Finally, it conducts a restricted-maximum likelihood random-effects meta-analysis separately for each set of imputations and it conducts estimations from these meta-analyses. Please read the reference in 'metansue' for details of the procedure.
How to cite:
Joaquim Radua (2015). metansue: Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects. R package version 2.6, https://cran.r-project.org/web/packages/metansue. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2015-11-11 11:54), 1.1 (2016-06-20 20:37), 1.2 (2016-09-01 13:20), 2.0 (2017-07-21 17:34), 2.1 (2018-03-13 18:04), 2.2 (2018-07-11 15:40), 2.3 (2018-12-10 23:20), 2.4 (2020-04-12 11:20), 2.5 (2022-09-13 09:30)
Other packages that cited metansue R package
View metansue citation profile
Other R packages that metansue depends, imports, suggests or enhances
Complete documentation for metansue
Functions, R codes and Examples using the metansue R package
Some associated functions: forest . funnel . leave1out . meta . metabias . nsue . 
Some associated R codes: source.R .  Full metansue package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA