Science Score: 49.0%
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Found 6 DOI reference(s) in README -
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1 of 7 committers (14.3%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (17.1%) to scientific vocabulary
Keywords from Contributors
behavior-genetics
estimation
graphical-models
growth-curves
item-response-theory
multilevel-models
openmx
psychology
structural-equation-modeling
Last synced: 9 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: cjvanlissa
- Language: HTML
- Default Branch: master
- Homepage: https://cjvanlissa.github.io/pema/
- Size: 341 MB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
- Releases: 1
Created almost 5 years ago
· Last pushed 11 months ago
Metadata Files
Readme
Changelog
README.Rmd
---
output: github_document
---
# pema: Penalized Meta-Analysis
[](https://CRAN.R-project.org/package=pema)
[](https://cran.r-project.org/package=pema)
[](https://lifecycle.r-lib.org/articles/stages.html#stable)
[](https://github.com/cjvanlissa/pema/actions)
[](https://www.contributor-covenant.org/version/2/0/code_of_conduct.html)
Conduct *pe*nalized *m*eta-*a*nalysis (*"pema"*) 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 overfitted. Penalized meta-regression is useful in these cases, because
it shrinks the regression slopes of irrelevant moderators towards zero.
## Where do I start?
For most users, the recommended starting point is to [read the paper](https://doi.org/10.31234/osf.io/6phs5) published in **Research Synthesis Methods**,
which introduces the method, validates it, and provides a tutorial example.
## Installing the package
Use [CRAN](https://CRAN.R-project.org/package=pema) to install the latest release of `pema`:
```
install.packages("pema")
```
Alternatively, use [R-universe](https://cjvanlissa.r-universe.dev) to install the development version of `pema`
by running the following code:
``` r
options(repos = c(
cjvanlissa = 'https://cjvanlissa.r-universe.dev',
CRAN = 'https://cloud.r-project.org'))
install.packages('pema')
```
## Citing pema
You can cite `pema` using the following citation (please use the same citation for either the package, or the paper):
> Van Lissa, C. J., van Erp, S., & Clapper, E. B. (2023). Selecting relevant moderators with Bayesian regularized meta-regression. *Research Synthesis Methods*. https://doi.org/10.31234/osf.io/6phs5
## About this repository
This repository contains the source code for the R-package called `pema`.
## Contributing and Contact Information
We are always eager to receive user feedback and contributions to help us improve both the workflow and the software. Major contributions warrant coauthorship to the package. Please contact the lead author at [c.j.vanlissa@uu.nl](mailto:c.j.vanlissa@uu.nl), or:
- [File a GitHub issue](https://github.com/cjvanlissa/pema) for feedback, bug reports or feature requests
- [Make a pull request](https://github.com/cjvanlissa/pema/pulls) to contribute your code or prose
By participating in this project, you agree to abide by the [Contributor
Code of Conduct v2.0](https://www.contributor-covenant.org/). Contributions to the package must adhere to the [tidyverse style guide](https://style.tidyverse.org/). When contributing code, please add tests for that contribution to the `tests/testthat` folder, and ensure that these tests pass in the [GitHub Actions panel](https://github.com/cjvanlissa/pema/actions/workflows/R-CMD-check).
Owner
- Name: C. J. van Lissa
- Login: cjvanlissa
- Kind: user
- Company: Utrecht University
- Repositories: 22
- Profile: https://github.com/cjvanlissa
Developmental datascientist, studying mothers' and fathers' unique roles in children's socio-emotional development.
GitHub Events
Total
- Issue comment event: 4
- Push event: 26
- Create event: 1
Last Year
- Issue comment event: 4
- Push event: 26
- Create event: 1
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| cjvanlissa | c****a@u****l | 79 |
| Eli-Boaz Clapper | e****r@u****l | 31 |
| cjvanlissa | c****a@t****u | 26 |
| yourname | y****e@e****m | 16 |
| Sara van Erp | s****p@g****m | 11 |
| Eli-Boaz Clapper | 7****n | 10 |
| Andrew Johnson | a****n@a****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 2
- Total pull requests: 20
- Average time to close issues: about 1 year
- Average time to close pull requests: 3 days
- Total issue authors: 2
- Total pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 0.4
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- EliClapper (1)
- cjvanlissa (1)
Pull Request Authors
- cjvanlissa (17)
- EliClapper (2)
- andrjohns (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 932 last-month
- Total docker downloads: 20,358
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
cran.r-project.org: pema
Penalized Meta-Analysis
- Homepage: https://github.com/cjvanlissa/pema
- Documentation: http://cran.r-project.org/web/packages/pema/pema.pdf
- License: GPL (≥ 3)
-
Latest release: 0.1.4
published about 1 year ago
Rankings
Forks count: 21.9%
Downloads: 23.5%
Average: 29.1%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Maintainers (1)
Last synced:
11 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.4.0 depends
- Rcpp >= 0.12.0 imports
- RcppParallel >= 5.0.1 imports
- ggplot2 * imports
- methods * imports
- rstan >= 2.18.1 imports
- rstantools >= 2.1.1 imports
- shiny * imports
- sn * imports
- knitr * suggests
- mice * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests
.github/workflows/check-standard.yaml
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