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Perform censored quantile regression of Huang (2010) <doi:10.1214/09-AOS771>, and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) <doi:10.1080/01621459.2016.1149070>. The monotonicity-respecting restoration applies to general dynamic regression models including (uncensored or censored) quantile regression model, additive hazards model, and dynamic survival models of Peng and Huang (2007) <doi:10.1093/biomet/asm058>, among others.
Version: | 1.5 |
Depends: | R (≥ 2.8.0) |
Suggests: | knitr, rmarkdown, survival |
Published: | 2023-06-22 |
DOI: | 10.32614/CRAN.package.cequre |
Author: | Yijian Huang |
Maintainer: | Yijian Huang <yhuang5 at emory.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
CRAN checks: | cequre results |
Reference manual: | cequre.pdf |
Vignettes: |
Censored Quantile Regression & Monotonicity-Respecting Restoring |
Package source: | cequre_1.5.tar.gz |
Windows binaries: | r-devel: cequre_1.5.zip, r-release: cequre_1.5.zip, r-oldrel: cequre_1.5.zip |
macOS binaries: | r-release (arm64): cequre_1.5.tgz, r-oldrel (arm64): cequre_1.5.tgz, r-release (x86_64): cequre_1.5.tgz, r-oldrel (x86_64): cequre_1.5.tgz |
Old sources: | cequre archive |
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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.
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