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pema
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", "0.1.3")
Attach the package and use:
library("pema")
Maintained by
Caspar J van Lissa
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.pema . https://github.com/cjvanlissa/pema . https://cjvanlissa.github.io/pema/ . pema citation info . pema results . pema.pdf . pema_0.1.4.tar.gz . pema_0.1.4.zip . pema_0.1.4.zip . pema_0.1.4.zip . pema_0.1.4.tgz . pema_0.1.4.tgz . pema_0.1.4.tgz . pema_0.1.4.tgz . pema_0.1.4.tgz . pema_0.1.4.tgz . pema archive . https://CRAN.R-project.org/package=pema .
First Published: 2021-12-15
Latest Update: 2023-03-16
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 0.1.3, https://cran.r-project.org/web/packages/pema. Accessed 11 Apr. 2025.
Previous versions and publish date:
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
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