Package: mult.latent.reg
Type: Package
Title: Regression and Clustering in Multivariate Response Scenarios
Version: 0.2.2
Authors@R: c(person("Yingjuan Zhang", role = c("aut", "cre"), email = "yingjuan.zhang7@gmail.com"),
             person("Jochen Einbeck", role = c("aut","ctb"), email = "jochen.einbeck@durham.ac.uk"))
Description: 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>.
License: GPL-3
Imports: mvtnorm, stats, matrixStats, utils, lme4
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 3.5.0)
Collate: 'fetal_covid_data.R' 'IALS_data.R' 'mult.latent.reg-package.R'
        'mult.reg_1level.R' 'mult.reg_2level.R' 'start.em.1level.R'
        'start.em.2level.R' 'start.em.R' 'trading_data.R'
        'twins_data.R'
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-05-28 16:15:27 UTC; hahahaz
Author: Yingjuan Zhang [aut, cre],
  Jochen Einbeck [aut, ctb]
Maintainer: Yingjuan Zhang <yingjuan.zhang7@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-28 19:50:06 UTC
Built: R 4.6.0; ; 2026-04-26 08:59:14 UTC; unix
