| bigSurvSGD | Big survival data analysis using stochastic gradient descent |
| lambdaMaxC | Calculates the maximum penalty coefficient lambda for which all coefficients become zero |
| oneChunkC | Updates the coefficients based on one pass of data |
| oneObsPlugingC | Calculates the gradient and Hessian corresponding to one individual |
| plot.bigSurvSGD | Big survival data analysis using stochastic gradient descent |
| print.bigSurvSGD | Big survival data analysis using stochastic gradient descent |
| sparseSurvData | Simulated sparse survival dataset |
| survData | Simulated survival dataset |