Package: PartCensReg
Type: Package
Title: Estimation and Diagnostics for Partially Linear Censored
        Regression Models Based on Heavy-Tailed Distributions
Version: 1.39
Author: Marcela Nunez Lemus, Christian E. Galarza, Larissa Avila Matos,
        Victor H Lachos
Maintainer: Marcela Nunez Lemus <marcela.nunez.lemus@gmail.com>
Imports: ssym, optimx, Matrix
Suggests: SMNCensReg, AER
Description: It estimates the parameters of a partially linear
        regression censored model via maximum penalized likelihood
        through of ECME algorithm. The model belong to the
        semiparametric class, that including a parametric and
        nonparametric component. The error term considered belongs to
        the scale-mixture of normal (SMN) distribution, that includes
        well-known heavy tails distributions as the Student-t
        distribution, among others. To examine the performance of the
        fitted model, case-deletion and local influence techniques are
        provided to show its robust aspect against outlying and
        influential observations. This work is based in Ferreira, C.
        S., & Paula, G. A. (2017) <doi:10.1080/02664763.2016.1267124>
        but considering the SMN family.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-10-12 11:57:07 UTC; root
Config/pak/sysreqs: cmake
Repository: https://mnunez5.r-universe.dev
Date/Publication: 2018-03-08 22:03:05 UTC
RemoteUrl: https://github.com/cran/PartCensReg
RemoteRef: HEAD
RemoteSha: e0752c6876792ff3bb3d1febcb2fbd11901b0c35