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 |