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In Cox's proportional hazard model, covariates are modeled as linear function and may not be flexible. This package implements additive trend filtering Cox proportional hazards model as proposed in Jiacheng Wu & Daniela Witten (2019) "Flexible and Interpretable Models for Survival Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2019.1592758>. The fitted functions are piecewise polynomial with adaptively chosen knots.
| Version: | 0.1.0 |
| Imports: | Rcpp (≥ 0.12.14), survival, stats |
| LinkingTo: | Rcpp |
| Published: | 2019-08-01 |
| Author: | Jiacheng Wu [aut, cre], Daniela Witten [aut], Taylor Arnold [ctb], Veeranjaneyulu Sadhanala [ctb], Ryan Tibshirani [ctb] |
| Maintainer: | Jiacheng Wu <wujiacheng1992 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | tfCox results |
| Reference manual: | tfCox.pdf |
| Package source: | tfCox_0.1.0.tar.gz |
| Windows binaries: | r-devel: tfCox_0.1.0.zip, r-release: tfCox_0.1.0.zip, r-oldrel: tfCox_0.1.0.zip |
| macOS binaries: | r-release (arm64): tfCox_0.1.0.tgz, r-oldrel (arm64): tfCox_0.1.0.tgz, r-release (x86_64): tfCox_0.1.0.tgz, r-oldrel (x86_64): tfCox_0.1.0.tgz |
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