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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 |
| 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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