sparseSurvData

datasets

Fits Cox model via stochastic gradient descent. This implementation avoids computational instability of the standard Cox Model when dealing large datasets. Furthermore, it scales up with large datasets that do not fit the memory. It also handles large sparse datasets using proximal stochastic gradient descent algorithm. For more details about the method, please see Aliasghar Tarkhan and Noah Simon (2020) <arXiv:2003.00116v2>.

Aliasghar Tarkhan

bigSurvSGD

Big Survival Analysis Using Stochastic Gradient Descent

Noah Simon

sparseSurvData function

<p>An object of class data.frame including 100 observations (rows)
and 150 features (columns)</p>

Format

Simulated sparse survival dataset — sparseSurvData

Simulated sparse survival dataset

sparseSurvData: Simulated sparse survival dataset

Description

Usage

Arguments

Format

References

Examples