survData

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

survData function

<p>An object of class data.frame including 1000 observations (rows)
and 10 features (columns)</p>

Format

Simulated survival dataset — survData

Simulated survival dataset

survData: Simulated survival dataset

Description

Usage

Arguments

Format

References

Examples