Package: multid 1.0.2.9000

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 Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Deconstructing difference score correlations (e.g., gender-equality paradox), see Ilmarinen & Lönnqvist (2024) <doi:10.1037/pspp0000508>. Includes also tools that help in understanding difference score reliability, conditional intra-class correlations, tail-dependency, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.

Authors:Ville-Juhani Ilmarinen [aut, cre]

multid_1.0.2.9000.tar.gz
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multid_1.0.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multid/json (API)

# Install 'multid' in R:

install.packages('multid', repos = c('https://vjilmari.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vjilmari/multid/issues

Datasets:

example_big5 - Example BIG5 personality dataset

On CRAN:

4.40 score 7 scripts 332 downloads 15 exports 90 dependencies

Last updated from:e5233b8bda. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	184
source / vignettes	OK	274
linux-release	OK	225
macos-release	OK	97
macos-oldrel	OK	107
windows-devel	OK	90
windows-release	OK	107
windows-oldrel	OK	87
wasm-release	OK	141

Exports:cvv cvv_manual d_pooled_sd D_regularized ddsc_ml ddsc_sem diff_two_dep_cors ml_dadas pcc plot_ddsc qcc reliability_dms sem_dadas value_correlation vpc_at

Dependencies:abind backports boot broom car carData cli codetools colorspace corrplot cowplot cpp11 Deriv doBy dplyr emmeans estimability farver foreach forecast Formula fracdiff generics ggplot2 ggpubr ggrepel ggsci ggsignif glmnet glue gridExtra gtable isoband iterators labeling lattice lavaan lifecycle lme4 lmerTest lmtest magrittr MASS Matrix MatrixModels mgcv minqa mnormt modelr mvtnorm nlme nloptr nnet numDeriv pbivnorm pbkrtest pillar pkgconfig polynom pROC purrr quadprog quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rstatix S7 scales shape SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Multivariate Sex Differences in Personality with Regularized Regression in multid -package

Rendered frommultivariate_sex_differences_in_personality.Rmdusingknitr::rmarkdown

Last update: 2026-10-01
Started: 2022-06-07

Help page	Topics
Coefficient of variance variation	cvv
Coefficient of variance variation from manual input sample sizes and variance estimates	cvv_manual
Standardized mean difference with pooled standard deviation	d_pooled_sd
Multivariate group difference estimation with regularized binomial regression	D_regularized
Deconstructing difference score correlation with multi-level modeling	ddsc_ml
Deconstructing difference score correlation with structural equation modeling	ddsc_sem
Difference between two dependent Pearson's correlations (with common index)	diff_two_dep_cors
Example BIG5 personality dataset (random subset)	example_big5
Predicting algebraic difference scores in multilevel model	ml_dadas
Deprecated functions in multid	multid-deprecated
Returns probabilities of correct classification for both groups in independent data partition.	pcc
Plot deconstructed difference score correlation	plot_ddsc
Quantile correlation coefficient	qcc
Reliability calculation for difference score variable that is a difference between two mean variables calculated over upper-level units (e.g., sex differences across countries)	reliability_dms
Predicting algebraic difference scores in structural equation model	sem_dadas
Testing and quantifying how much ipsatization (profile centering) influence associations between value and a correlate	value_correlation
Variance partition coefficient calculated at different level-1 values	vpc_at

Package: multid 1.0.2.9000

multid: Multivariate Difference Between Two Groups

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