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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