icenReg: Regression Models for Interval Censored Data in R

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Authors Anderson-Bergman
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper 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.
Date of publication 2017
Code Programming Language R
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