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Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
icenReg: Regression Models for Interval Censored Data in R | Anderson-Bergman | Journal of Statistical Software
Authors: Clifford Anderson-Bergman
Title: icenReg: Regression Models for Interval Censored Data in R
Abstract: The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models. The R package icenReg is introduced which contains fast, reliable algorithms for fitting these models. In addition, the package contains functions for imputation of the censored response variables and diagnostics of both regression effects and baseline distribution.

Page views:: 209. Submitted: 2016-01-05. Published: 2017-11-13.
Paper: icenReg: Regression Models for Interval Censored Data in R     Download PDF (Downloads: 61)
Supplements:
icenReg_2.0.6.tar.gz: R source package Download (Downloads: 5; 891KB)
v81i12.R: R replication code Download (Downloads: 8; 12KB)

DOI: 10.18637/jss.v081.i12

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.