Package: multid 1.0.0.9000

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 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.

Authors:Ville-Juhani Ilmarinen [aut, cre]

multid_1.0.0.9000.tar.gz
multid_1.0.0.9000.zip(r-4.5)multid_1.0.0.9000.zip(r-4.4)multid_1.0.0.9000.zip(r-4.3)
multid_1.0.0.9000.tgz(r-4.4-any)multid_1.0.0.9000.tgz(r-4.3-any)
multid_1.0.0.9000.tar.gz(r-4.5-noble)multid_1.0.0.9000.tar.gz(r-4.4-noble)
multid_1.0.0.9000.tgz(r-4.4-emscripten)multid_1.0.0.9000.tgz(r-4.3-emscripten)
multid.pdf |multid.html✨
multid/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.65 score 6 scripts 282 downloads 15 exports 83 dependencies

Last updated 2 months agofrom:382c7cfe3d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxNOTENov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:cvvcvv_manuald_pooled_sdD_regularizedddsc_mlddsc_semdiff_two_dep_corsml_dadaspccplot_ddscqccreliability_dmssem_dadasvalue_correlationvpc_at

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11DerivdoBydplyremmeansestimabilityfansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifglmnetgluegridExtragtableisobanditeratorslabelinglatticelavaanlifecyclelme4lmerTestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivpbivnormpbkrtestpillarpkgconfigplyrpolynompROCpurrrquadprogquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesshapeSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

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

Ville-Juhani Ilmarinen

Rendered frommultivariate_sex_differences_in_personality.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-02-22
Started: 2022-06-07