The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

multid: Multivariate Difference Between Two Groups

Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Lönnqvist & Ilmarinen (2021) <doi:10.1007/s11109-021-09681-2> and Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Includes tools that help in understanding difference score reliability, predictions of difference score variables, conditional intra-class correlations, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.

Version: 1.0.0
Imports: dplyr (≥ 1.0.7), glmnet (≥ 4.1.2), stats (≥ 4.0.2), pROC (≥ 1.18.0), lavaan (≥ 0.6.9), emmeans (≥ 1.6.3), lme4 (≥ 1.1.27.1), quantreg (≥ 5.88), lmerTest (≥ 3.1.3), ggpubr (≥ 0.6.0), ggplot2 (≥ 3.4.4)
Suggests: knitr (≥ 1.39), rmarkdown (≥ 2.14), overlapping (≥ 1.7), rio (≥ 0.5.29)
Published: 2024-02-15
DOI: 10.32614/CRAN.package.multid
Author: Ville-Juhani Ilmarinen ORCID iD [aut, cre]
Maintainer: Ville-Juhani Ilmarinen <vj.ilmarinen at gmail.com>
BugReports: https://github.com/vjilmari/multid/issues
License: GPL-3
NeedsCompilation: no
Citation: multid citation info
Materials: README NEWS
CRAN checks: multid results

Documentation:

Reference manual: multid.pdf
Vignettes: multivariate_sex_differences_in_personality

Downloads:

Package source: multid_1.0.0.tar.gz
Windows binaries: r-devel: multid_1.0.0.zip, r-release: multid_1.0.0.zip, r-oldrel: multid_1.0.0.zip
macOS binaries: r-release (arm64): multid_1.0.0.tgz, r-oldrel (arm64): multid_1.0.0.tgz, r-release (x86_64): multid_1.0.0.tgz, r-oldrel (x86_64): multid_1.0.0.tgz
Old sources: multid archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multid to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.