Functions to fit finite-mixture censored regression models under Normal ("Normal"), Student-t ("T"), Skew-Normal ("SN"), and Skew-t ("ST"). Supports left-censoring, k-means initialization, Aitken acceleration, and optional information-matrix standard errors.
EM.skewCens.mixR: EM algorithm for finite-mixture censored regression.
Maintainer: Jiwon Park pcjylove87@gmail.com
Authors:
Victor Hugo Lachos Davila hlachos@uconn.edu
Dipak Dey dipak.dey@uconn.edu
Useful links: