Estimate Latent Classes on a Mixture of Continuous and
Dichotomous Data
Description
EQ-5D value set estimation can be done using the hybrid model likelihood as described by
Oppe and van Hout (2010) and Ramos-Goñi et al. (2017) .
The package is based on 'flexmix' and among others contains an M-step-driver as described by Leisch (2004) .
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.