Package: pema
Title: Penalized Meta-Analysis
Version: 0.1.5
Authors@R: c(
    person(c("Caspar", "J"), 
             "van Lissa",
             role = c("aut", "cre"),
             email = "c.j.vanlissa@tilburguniversity.edu",
             comment = c(ORCID = "0000-0002-0808-5024")),
    person(c("Sara", "J"), "van Erp", role = c("aut"))
    )
Description: Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper
    (2023) <doi:10.31234/osf.io/6phs5>. 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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/cjvanlissa/pema,
        https://cjvanlissa.github.io/pema/
RoxygenNote: 7.3.2
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, rstan (>= 2.26.0), Rcpp (>= 0.12.0), RcppParallel (>=
        5.0.1), rstantools (>= 2.1.1), sn, shiny, ggplot2, cli
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>=
        2.26.0)
Suggests: rmarkdown, knitr, mice, testthat (>= 3.0.0), webexercises,
        bain, metaforest, metafor
SystemRequirements: GNU make
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-08-08 16:02:07 UTC; vanlissa
Author: Caspar J van Lissa [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0808-5024>),
  Sara J van Erp [aut]
Maintainer: Caspar J van Lissa <c.j.vanlissa@tilburguniversity.edu>
Repository: CRAN
Date/Publication: 2025-10-06 18:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-10-06 21:47:55 UTC; unix
Archs: pema.so.dSYM
