hyreg2: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data

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.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	flexmix, bbmle, ggplot2, methods, stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2025-10-06
DOI:	10.32614/CRAN.package.hyreg2
Author:	Svenja Elkenkamp [aut, cre], Kim Rand [aut], John Grosser [aut], EuroQol [fnd]
Maintainer:	Svenja Elkenkamp <svenja.elkenkamp at uni-bielefeld.de>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	hyreg2 results

Documentation:

Reference manual:

hyreg2.html , hyreg2.pdf

Downloads:

Package source:	hyreg2_1.0.0.tar.gz
Windows binaries:	r-devel: hyreg2_1.0.0.zip, r-release: not available, r-oldrel: hyreg2_1.0.0.zip
macOS binaries:	r-release (arm64): hyreg2_1.0.0.tgz, r-oldrel (arm64): hyreg2_1.0.0.tgz, r-release (x86_64): hyreg2_1.0.0.tgz, r-oldrel (x86_64): hyreg2_1.0.0.tgz

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