PHeval-package {PHeval} | R Documentation |
Evaluation of the proportional hazards assumption with a standardized score process
Description
This package provides tools for the evaluation of the goodness of fit and the predictive capacity of the proportional hazards model.
Details
Package: | PHeval |
Type: | Package |
Version: | 0.5.1 |
Date: | 2014-04-20 |
License: | GPL (>=2.0) |
This package provides functions to evaluate and plot the standardized score process of OQuigley (2003). The plot of this process over the ranks of the failure times gives an indication of the validity of the proportional hazards assumption. A function to evaluate the R^2
coefficient of OQuigley and Flandre (1994) is provided. This coefficient is a measure of the predictive ability of the proportional hazards model.
Author(s)
Cecile Chauvel <cecile.chauvel@upmc.fr>
References
Chauvel, C. and OQuigley, J. (2014) Tests for comparing estimated survival functions. Biometrika |
101, 535-552. https://doi.org/10.1093/biomet/asu015 |
Chauvel, C. and OQuigley, J. (2017) Survival model construction guided by fit and predictive strength. |
Biometrics 73, 483-494. https://doi.org/10.1111/biom.12611 |
OQuigley, J. (2008) Proportional hazards regression. Springer New-York. |
OQuigley J, Flandre P. (1994) Predictive capability of proportional hazards regression. PNAS 91, 2310-2314. |
Examples
library(survival)
S=standscore(futime+fustat~resid.ds+rx,data=ovarian)
plotscore(S,printCB = TRUE)
R2(futime+fustat~resid.ds+rx,data=ovarian)
[Package PHeval version 0.5.4 Index]