cequre: Censored Quantile Regression & Monotonicity-Respecting Restoring
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: |
1.3 |
| Depends: |
R (≥ 2.8.0) |
| Published: |
2023-03-27 |
| 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 |
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