PFMC-package: IRLS-EM algorithm for the penalized finite-mixture Cox PH...

Description Details Author(s) References

Description

A variable selection method for the finite-mixture Cox PH model using the penalty of LASSO, adaptive LASSO, SCAD or elastic net

Details

The internal funtions convexMin, cv.ncvsurv, cvf.surv, lamNames, ncvgetmin, ncvsurv, setupLambdaCox and std are imported from R package ncvreg and adapted to allow the argument weights.

Author(s)

Shijie Quan, Shun He

Maintainer: Na You (youn@mail.sysu.edu.cn)

References

R package ncvreg, https://cran.r-project.org/web/packages/ncvreg/

Breheny, P. and Huang, J. (2011) Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection. Ann. Appl. Statist., 5: 232-253.

Subtype classification and heterogeneous prognosis model construction in precision medicine. Na You, Shun He, Xueqin Wang, Junxian Zhu and Heping Zhang.


scrcss/pfmc_pkg documentation built on May 8, 2019, 2:33 a.m.