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robumeta
View on CRAN: Click
here
Download and install robumeta package within the R console
Install from CRAN:
install.packages("robumeta")
Install from Github:
library("remotes")
install_github("cran/robumeta")
Install by package version:
library("remotes")
install_version("robumeta", "2.1")
Attach the package and use:
library("robumeta")
Maintained by
Zachary Fisher
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-01-08
Latest Update: 2023-03-28
Description:
Functions for conducting robust variance estimation (RVE) meta-regression using both large and small sample RVE estimators under various weighting schemes. These methods are distribution free and provide valid point estimates, standard errors and hypothesis tests even when the degree and structure of dependence between effect sizes is unknown. Also included are functions for conducting sensitivity analyses under correlated effects weighting and producing RVE-based forest plots.
How to cite:
Zachary Fisher (2014). robumeta: Robust Variance Meta-Regression. R package version 2.1, https://cran.r-project.org/web/packages/robumeta
Previous versions and publish date:
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Other R packages that robumeta depends,
imports, suggests or enhances
Functions, R codes and Examples using
the robumeta R package
Some associated functions: corrdat . corrdat.sm . forest.robu . group.center . group.mean . hedgesdat . hierdat . oswald2013.ex1 . oswald2013 . predict.robu . print.robu . robu . sensitivity .
Some associated R codes: forest.robu.R . group.center.R . group.mean.R . predict.robu.R . print.robu.R . robu.R . robumeta-data.R . sensitivity.R . Full robumeta package functions and examples
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