Other packages > Find by keyword >

selectMeta  

Estimation of Weight Functions in Meta Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("selectMeta", "1.0.9")



Attach the package and use:
library("selectMeta")
Maintained by
Kaspar Rufibach
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-11-15
Latest Update: 2025-04-05
Description:
Publication bias, the fact that studies identified for inclusion in a meta analysis do not represent all studies on the topic of interest, is commonly recognized as a threat to the validity of the results of a meta analysis. One way to explicitly model publication bias is via selection models or weighted probability distributions. In this package we provide implementations of several parametric and nonparametric weight functions. The novelty in Rufibach (2011) is the proposal of a non-increasing variant of the nonparametric weight function of Dear & Begg (1992). The new approach potentially offers more insight in the selection process than other methods, but is more flexible than parametric approaches. To maximize the log-likelihood function proposed by Dear & Begg (1992) under a monotonicity constraint we use a differential evolution algorithm proposed by Ardia et al (2010a, b) and implemented in Mullen et al (2009). In addition, we offer a method to compute a confidence interval for the overall effect size theta, adjusted for selection bias as well as a function that computes the simulation-based p-value to assess the null hypothesis of no selection as described in Rufibach (2011, Section 6).
How to cite:
Kaspar Rufibach (2010). selectMeta: Estimation of Weight Functions in Meta Analysis. R package version 1.0.9, https://cran.r-project.org/web/packages/selectMeta. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 1.0.0 (2010-11-15 17:05), 1.0.1 (2010-11-26 17:43), 1.0.2 (2011-02-22 10:00), 1.0.3 (2011-03-09 15:25), 1.0.4 (2011-12-01 09:00), 1.0.5 (2013-09-23 21:55), 1.0.6 (2014-02-06 08:28), 1.0.7 (2014-09-06 20:50), 1.0.8 (2015-07-03 12:51)
Other packages that cited selectMeta R package
View selectMeta citation profile
Other R packages that selectMeta depends, imports, suggests or enhances
Complete documentation for selectMeta
Functions, R codes and Examples using the selectMeta R package
Some associated functions: DearBegg . DearBeggMonotoneCItheta . DearBeggMonotonePvalSelection . IyenGreen . Pval . education . effectBias . pPool . passive_smoking . selectMeta-package . weightLine . 
Some associated R codes: Full selectMeta package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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