Package: coxphMIC
Type: Package
Title: Sparse Estimation of Cox Proportional Hazards Models via
        Approximated Information Criterion
Version: 0.1.0
Author: Xiaogang Su and Razieh Nabi Abdolyousefi
Maintainer: Xiaogang Su <xiaogangsu@gmail.com>
Description: Sparse estimation for Cox PH models is done via
    Minimum approximated Information Criterion (MIC) by Su, Wijayasinghe, 
    Fan, and Zhang (2016) <DOI:10.1111/biom.12484>. MIC mimics the best 
    subset selection using a penalized likelihood approach yet with no need 
    of a tuning parameter. The problem is further reformulated with a 
    re-parameterization step so that it reduces to one unconstrained non-convex
    yet smooth programming problem, which can be solved efficiently. Furthermore,
    the re-parameterization tactic yields an additional advantage in terms of
    circumventing post-selection inference.
License: GPL-2
Depends: R (>= 3.1.0), stats (>= 3.2.5), graphics (>= 3.2.5), utils (>=
        3.2.5)
Imports: survival (>= 2.38), numDeriv (>= 2014.2-1)
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-26 05:39:44 UTC; xsu
Repository: CRAN
Date/Publication: 2017-04-26 05:56:07 UTC
Built: R 3.6.3; ; 2020-08-05 04:28:13 UTC; windows
