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hyreg2  

Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data
View on CRAN: Click here


Download and install hyreg2 package within the R console
Install from CRAN:
install.packages("hyreg2")

Install from Github:
library("remotes")
install_github("cran/hyreg2")

Install by package version:
library("remotes")
install_version("hyreg2", "1.1.2")



Attach the package and use:
library("hyreg2")
Maintained by
Svenja Elkenkamp
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-06
Latest Update: 2025-10-06
Description:
EQ-5D value set estimation can be done using the hybrid model likelihood as described by Oppe and van Hout (2010) <doi:10.1002/hec.3560> and Ramos-Goñi et al. (2017) <doi:10.1097/MLR.0000000000000283 >. The package is based on 'flexmix()' and among others contains an M-step-driver as described by Leisch (2004) <doi:10.18637/jss.v011.i08>. Users can estimate latent classes and address preference heterogeneity. Both uncensored and censored data are supported. Furthermore, heteroscedasticity can be taken into account. It is possible to control for different covariates on the continuous and dichotomous parts of the data and start values can differ between the expected latent classes.
How to cite:
Svenja Elkenkamp (2025). hyreg2: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data. R package version 1.1.2, https://cran.r-project.org/web/packages/hyreg2. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 1.0.0 (2025-10-06 10:30), 1.1.0 (2025-12-19 12:00), 1.1.1 (2026-01-13 12:50)
Other packages that cited hyreg2 R package
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Complete documentation for hyreg2
Functions, R codes and Examples using the hyreg2 R package
Full hyreg2 package functions and examples
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