Package: bigSurvSGD
Type: Package
Title: Big Survival Analysis Using Stochastic Gradient Descent
Version: 1.0.0
Date: 2020-07-04
Authors@R: as.person(c(
	"Aliasghar Tarkhan <atarkhan@uw.edu> [aut, cre]",
	"Noah Simon <nrsimon@uw.edu> [aut]"
	))
Description: Fits Cox Model via stochastic gradient descent (SGD). 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.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4), bigmemory, doParallel, survival
Depends: foreach, parallel, R (>= 3.5.0)
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: https://atarkhan.r-universe.dev
Date/Publication: 2020-08-30 19:03:24 UTC
RemoteUrl: https://github.com/atarkhan/bigsurvsgd
RemoteRef: HEAD
RemoteSha: 8dc4e4aa4bbdccf4819273a1e481254dc3323c17
NeedsCompilation: yes
Packaged: 2026-10-19 10:01:31 UTC; root
Author: Aliasghar Tarkhan [aut, cre],
  Noah Simon [aut]
Maintainer: Aliasghar Tarkhan <atarkhan@uw.edu>