icRSF (1.2)

0 users

A Modified Random Survival Forest Algorithm.

http://cran.r-project.org/web/packages/icRSF

Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.

Maintainer: Hui Xu
Author(s): Hui Xu and Raji Balasubramanian

License: GPL (>= 2)

Uses: icensmis, Rcpp

Released almost 2 years ago.

2 previous versions

Ratings

Overall:
  (0 votes)

Documentation:
  (0 votes)

Log in to vote.

Reviews

No one has written a review of icRSF yet. Want to be the first? Write one now.

Related packages: BMA, BayHaz, DAAG, Epi, ICE, KMsurv, LearnBayes, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, aster, bayesSurv, boot, clinfun, cmprsk, coin, coxphf … (20 best matches, based on common tags.)

Search for icRSF on google, google scholar, r-help, r-devel.

Visit icRSF on R Graphical Manual.