Package: mars 0.2.2

Brandon LeBeau

mars: Meta Analysis and Research Synthesis

Includes functions for conducting univariate and multivariate meta-analysis. This includes the estimation of the asymptotic variance-covariance matrix of effect sizes. For more details see Becker (1992) <doi:10.2307/1165128>, Cooper, Hedges, and Valentine (2019) <doi:10.7758/9781610448864>, and Schmid, Stijnen, and White (2020) <doi:10.1201/9781315119403>.

Authors:Brandon LeBeau [aut, cre], Ariel M. Aloe [aut], Betsy Jane Becker [ctb], Seohee Park [ctb], Roberto C. Toro Rodriguez [ctb]

mars_0.2.2.tar.gz
mars_0.2.2.tar.gz(r-4.5-noble)mars_0.2.2.tar.gz(r-4.4-noble)
mars_0.2.2.tgz(r-4.4-emscripten)mars_0.2.2.tgz(r-4.3-emscripten)
mars.pdf |mars.html✨
mars/json (API)

# Install 'mars' in R:
install.packages('mars', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 11 exports 4 dependencies

Last updated 1 hours agofrom:3cb35908d5. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-linuxOKMar 27 2025
R-4.4-linuxOKMar 27 2025

Exports:c_mat_ftdf_to_correstimationfind_Bfind_reg_coefmarsmodel_fitMul_R2olkin_siotaniOSpath_model

Dependencies:corpcorlatticeMatrixmatrixcalc

Example Chapter Becker Aloe Cheung

Becker Aloe Cheung

Rendered fromBecker-Aloe-Cheung-2019.Rmdusingknitr::rmarkdownon Mar 27 2025.

Last update: 2025-03-27
Started: 2025-03-27

Citation

LeBeau B, Aloe AM, Becker BJ, Park S, Rodriguez RCT (2025). mars: Meta-Analysis and Research Synthesis. https://lebebr01.github.io/mars/.

Corresponding BibTeX entry: 

  @Manual{,
    title = {{mars}: Meta-Analysis and Research Synthesis},
    author = {Brandon LeBeau and Ariel M. Aloe and Betsy Jane Becker
      and Seohee Park and Roberto C. Toro Rodriguez},
    year = {2025},
    url = {https://lebebr01.github.io/mars/},
  }

Readme and manuals

mars

Package Installation

The package can be installed directly from GitHub using devtools or the remotes package with the following command:

remotes::install_github("lebebr01/mars")

To ensure that the vignettes are build, add the build_vignettes argument:

remotes::install_github("lebebr01/mars",
                        build_vignettes = TRUE)

Explore vignettes

You can then explore the vignettes which give the basic functionality of the package. The two vignettes can be accessed with the following code:

vignette(package = 'mars')