Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 7 committers (14.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • 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 · JSON representation

Repository

Basic Info
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 

[![CRAN status](https://www.r-pkg.org/badges/version/pema)](https://CRAN.R-project.org/package=pema)
[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/pema?color=blue)](https://cran.r-project.org/package=pema)
[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
[![R-CMD-check](https://github.com/cjvanlissa/pema/workflows/R-CMD-check/badge.svg)](https://github.com/cjvanlissa/pema/actions)


[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg)](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

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

All Time
  • Total Commits: 175
  • Total Committers: 7
  • Avg Commits per committer: 25.0
  • Development Distribution Score (DDS): 0.549
Past Year
  • Commits: 17
  • Committers: 2
  • Avg Commits per committer: 8.5
  • Development Distribution Score (DDS): 0.059
Top Committers
Name Email 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

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 932 Last month
  • Docker Downloads: 20,358
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%
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 actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
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.github/workflows/check-no-suggests.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/rhub.yaml actions
  • r-hub/actions/checkout v1 composite
  • r-hub/actions/platform-info v1 composite
  • r-hub/actions/run-check v1 composite
  • r-hub/actions/setup v1 composite
  • r-hub/actions/setup-deps v1 composite
  • r-hub/actions/setup-r v1 composite