The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| DOI: | 10.32614/CRAN.package.lss2 |
| 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 |
| Reference manual: | lss2.pdf |
| Package source: | lss2_1.1.tar.gz |
| Windows binaries: | r-devel: lss2_1.1.zip, r-release: lss2_1.1.zip, r-oldrel: lss2_1.1.zip |
| macOS binaries: | r-release (arm64): lss2_1.1.tgz, r-oldrel (arm64): lss2_1.1.tgz, r-release (x86_64): lss2_1.1.tgz, r-oldrel (x86_64): lss2_1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=lss2 to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.