Description: We introduce a nonparametric, graphical test based on optimal matching for assessing whether multiple unknown multivariate probability distributions are equal. This method is consistent, and does not make any distributional assumptions on the data. Our procedure combines data that belong to different classes or groups to create a graph on the pooled data, and then utilizes the number of edges connecting data points from different classes to examine equality of distributions among the classes. The functions available through this package implement the work described here: <arXiv:1906.04776>.
org.Hs.eg.db, org.Mm.eg.db, org.Ce.eg.db, Seurat (>= 3.0.0),
Packaged: 2019-09-23 18:05:48 UTC; divyanshagarwal

nbpMatching (>= 1.5.1), crossmatch (>= 1.3-1),
Packaged: 2020-05-25 20:27:55 UTC; divyanshagarwal

Title: Multivariate Difference Between Two Groups
Description: Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach.
Author: Ville-Juhani Ilmarinen [aut, cre]

Description: 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. (2021) <doi:10.31234/osf.io/j59bs>.

Description: 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. (2022) <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.
Suggests: knitr, rmarkdown, overlapping (>= 1.7), rio (>= 0.5.29)