lss2: The Accelerated Failure Time Model to Right Censored Data Based on Least-Squares Principle

Due to lack of proper inference procedure and software, the ordinary linear regression model is seldom used in practice for the analysis of right censored data. This paper presents an S-Plus/R program that implements a recently developed inference procedure (Jin, Lin and Ying, 2006) <doi:10.1093/biomet/93.1.147> for the accelerated failure time model based on the least-squares principle.

Version: 1.1
Depends: R (≥ 2.1.0), quantreg
Suggests: survival
Published: 2019-10-14
Author: Zhezhen Jin, Arvin Satwani
Maintainer: Arvin Satwani <arvinsatwani at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: lss2 results

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Reference manual: lss2.pdf
Package source: lss2_1.1.tar.gz
Windows binaries: r-devel: lss2_1.1.zip, r-devel-gcc8: lss2_1.1.zip, r-release: lss2_1.1.zip, r-oldrel: lss2_1.1.zip
OS X binaries: r-release: lss2_1.1.tgz, r-oldrel: lss2_1.1.tgz

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