pema
Penalized Meta-Analysis
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | pema_0.1.5.tar.gz |
3.4 MiB |
0.1.5 |
rolling linux/noble R-4.5 | pema_0.1.5.tar.gz |
3.5 MiB |
0.1.5 |
rolling source/ R- | pema_0.1.5.tar.gz |
1.0 MiB |
0.1.5 |
latest linux/jammy R-4.5 | pema_0.1.5.tar.gz |
3.4 MiB |
0.1.5 |
latest linux/noble R-4.5 | pema_0.1.5.tar.gz |
3.5 MiB |
0.1.5 |
latest source/ R- | pema_0.1.5.tar.gz |
1.0 MiB |
0.1.5 |
2026-04-26 source/ R- | pema_0.1.5.tar.gz |
1.0 MiB |
0.1.5 |
2026-04-23 source/ R- | pema_0.1.5.tar.gz |
1.0 MiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | pema_0.1.5.zip |
3.3 MiB |
0.1.4 |
2025-04-20 source/ R- | pema_0.1.4.tar.gz |
1.2 MiB |
Dependencies (latest)
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)