A package for fitting Cox models with penalized ridge-type partial likelihood. The package includes functions for fitting simple Cox models with all covariates controlled by a ridge penalty. The weight of the penalty is optimised by using a REML type-algorithm. Models with time varying effects of the covariates can also be fitted. Some of the covariates may be allowed to be fixed and thus not controlled by the penalty. There are three different penalty functions, ridge, dynamic and weighted dynamic. Time varying effects can be fitted without the need of an expanded dataset.
|Author||Aris Perperoglou <email@example.com>|
|Date of publication||2015-02-27 12:09:03|
|Maintainer||Aris Perperoglou <firstname.lastname@example.org>|
|License||GPL (>= 2)|
comp.graph: Plot a 'cox.ridge' or 'cox.dynamic.ridge' object.
cox.ridge: Fit a Cox model with a ridge penalty on all covariates
CoxRidge-internal: Internal 'CoxRidge' functions.
CoxRidge-package: Fit penalized Cox models with fixed and time varying effects...
Dynamic.Ridge: Fit a Cox model with time dependent effects of the covariates...
ova: Ovarian cancer data set
print.cox.dynamic.ridge: Print a 'cox.dynamic.ridge' object.
print.cox.ridge: Print a 'cox.ridge' object.
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