Package: mult.latent.reg 0.2.1

Yingjuan Zhang

mult.latent.reg: Regression and Clustering in Multivariate Response Scenarios

Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.

Authors:Yingjuan Zhang [aut, cre], Jochen Einbeck [aut, ctb]

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mult.latent.reg.pdf |mult.latent.reg.html✨
mult.latent.reg/json (API)

# Install 'mult.latent.reg' in R:
install.packages('mult.latent.reg', repos = 'https://cloud.r-project.org')
Datasets:
  • IALS_data - International Adult Literacy Survey (IALS) for 13 countries
  • fetal_covid_data - A set of fetal movements data collected before and during the Covid-19 pandemic
  • trading_data - A set of import and export data in 44 countries.
  • twins_data - A set of fetal movements data in twins.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 462 downloads 5 exports 15 dependencies

Last updated 5 months agofrom:5268f1719e. Checks:2 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-linuxNOTEMar 25 2025

Exports:mult.em_1levelmult.em_2levelmult.reg_1levelmult.reg_2levelstart_em

Dependencies:bootlatticelme4MASSMatrixmatrixStatsminqamvtnormnlmenloptrrbibutilsRcppRcppEigenRdpackreformulas

Citation

To cite package ‘mult.latent.reg’ in publications use:

Yingjuan Zhang, Jochen Einbeck (2024). mult.latent.reg: Regression and Clustering in Multivariate Response Scenarios. R package version 0.2.1, https://CRAN.R-project.org/package=mult.latent.reg.

Corresponding BibTeX entry: 

  @Manual{,
    title = {mult.latent.reg: Regression and Clustering in Multivariate
      Response Scenarios},
    author = {{Yingjuan Zhang} and {Jochen Einbeck}},
    year = {2024},
    note = {R package version 0.2.1},
    url = {https://CRAN.R-project.org/package=mult.latent.reg},
  }