Package: lss2 1.1
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.
Authors:
lss2_1.1.tar.gz
lss2_1.1.zip(r-4.7)lss2_1.1.zip(r-4.6)lss2_1.1.zip(r-4.5)
lss2_1.1.tgz(r-4.6-any)lss2_1.1.tgz(r-4.5-any)
lss2_1.1.tar.gz(r-4.7-any)lss2_1.1.tar.gz(r-4.6-any)
lss2_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lss2/json (API)
| # Install 'lss2' in R: |
| install.packages('lss2', repos = c('https://asatwani2.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:881082539a. Checks:6 OK, 3 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 191 | ||
| linux-release-x86_64 | OK | 122 | ||
| macos-release-arm64 | FAIL | 46 | ||
| macos-oldrel-arm64 | FAIL | 106 | ||
| windows-devel | OK | 85 | ||
| windows-release | FAIL | 36 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 84 |
Exports:lsslss.betaglss.eresprint.lss
Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| the accelerated failure time model to right censored data based on least-squares principle | lss lss.betag lss.eres print.lss |
