Other packages > Find by keyword >

pema  

Penalized Meta-Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pema", "0.1.5")



Attach the package and use:
library("pema")
Maintained by
Caspar J van Lissa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-15
Latest Update: 2025-03-30
Description:
Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper (2023) . In meta-analysis, there are often between-study differences. These can be coded as moderator variables, and controlled for using meta-regression. However, if the number of moderators is large relative to the number of studies, such an analysis may be overfit. Penalized meta-regression is useful in these cases, because it shrinks the regression slopes of irrelevant moderators towards zero.
How to cite:
Caspar J van Lissa (2021). pema: Penalized Meta-Analysis. R package version 0.1.5, https://cran.r-project.org/web/packages/pema. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.1.0 (2021-12-15 10:20), 0.1.1 (2022-04-25 09:20), 0.1.2 (2022-07-17 22:40), 0.1.3 (2023-03-16 12:40), 0.1.4 (2025-03-30 10:00)
Other packages that cited pema R package
View pema citation profile
Other R packages that pema depends, imports, suggests or enhances
Complete documentation for pema
Functions, R codes and Examples using the pema R package
Some associated functions: I2 . as.stan . bonapersona . brma . curry . maxap . pema-package . plot_sensitivity . sample_prior . shiny_prior . simulate_smd . 
Some associated R codes: I2.R . as_stan.R . bonapersona.R . brma.R . curry.R . maxap.R . methods_predict.R . methods_print_summary.R . pema-package.R . plot_prior.R . plot_sensitivity.R . pma_wrappers.R . q.R . shiny_prior.R . simulate_smd.R . standardize.R . stanmodels.R . utils.R . zzz.R .  Full pema package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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