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cff-version: 1.2.0
message: 'To cite package "mult.latent.reg" in publications use:'
type: software
license: GPL-3.0-only
title: 'mult.latent.reg: Regression and Clustering in Multivariate Response Scenarios'
version: 0.2.0
doi: 10.32614/CRAN.package.mult.latent.reg
abstract: 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) <https://doi.org/10.1007/s42519-023-00357-0>.
authors:
- name: Yingjuan Zhang
  email: yingjuan.zhang@durham.ac.uk
- name: Jochen Einbeck
repository: https://CRAN.R-project.org/package=mult.latent.reg
date-released: '2024-10-24'
contact:
- name: Yingjuan Zhang
  email: yingjuan.zhang@durham.ac.uk