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