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mult.latent.reg
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Download and install mult.latent.reg package within the R console
Install from CRAN:
install.packages("mult.latent.reg")
Install from Github:
library("remotes")
install_github("cran/mult.latent.reg")
Install by package version:
library("remotes")
install_version("mult.latent.reg", "0.1.7")
Attach the package and use:
library("mult.latent.reg")
Maintained by
Yingjuan Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-17
Latest Update: 2024-02-17
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) .
How to cite:
Yingjuan Zhang (2024). mult.latent.reg: Regression and Clustering in Multivariate Response Scenarios. R package version 0.1.7, https://cran.r-project.org/web/packages/mult.latent.reg
Previous versions and publish date:
0.1.6 (2024-02-17 22:00)
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