Package: bigSurvSGD
Type: Package
Title: Big Survival Analysis Using Stochastic Gradient Descent
Version: 0.0.1
Date: 2020-09-11
Authors@R: 
  c(person(given = "Aliasghar",
           family = "Tarkhan",
           role = c("aut", "cre"),
           email = "atarkhan@uw.edu"),
    person(given = "Noah",
           family = "Simon",
           role = "aut",
	   email = "nrsimon@uw.edu"))
Description: 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>.
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
BugReports: https://github.com/atarkhan/bigSurvSGD/issues
NeedsCompilation: yes
Packaged: 2020-09-28 16:59:42 UTC; arash
Author: Aliasghar Tarkhan [aut, cre],
  Noah Simon [aut]
Maintainer: Aliasghar Tarkhan <atarkhan@uw.edu>
Repository: CRAN
Date/Publication: 2020-10-01 08:40:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 02:51:37 UTC; unix
Archs: bigSurvSGD.so.dSYM
