Estimate an auxiliary model based on a latent classification
by means of mixture modeling (see
The auxiliary model is treated as a multi-group model. All cases are used in all groups, but they are weighted by group-specific BCH weights as described in Bolck, Croon, & Hagenaars, 2004.
BCH(x, model, data, ...)
An object for which a method exists.
An object that can be converted to an
A data.frame on which the auxiliary model can be evaluated.
further arguments to be passed to or from other methods.
Bolck, A., Croon, M., & Hagenaars, J. (2004). Estimating latent structure models with categorical variables: One-step versus three-step estimators. Political Analysis, 12(1), 3–27. <doi:10.2307/25791751>