censCov: Linear Regression with a Randomly Censored Covariate

Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.

Getting started

Package details

AuthorJing Qian, Sy Han (Steven) Chiou
MaintainerSy Han (Steven) Chiou <schiou@hsph.harvard.edu>
LicenseGPL (>= 3)
Version1.0-0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("censCov")

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censCov documentation built on May 1, 2019, 8:16 p.m.