plsRcox (0.7.6)

0 users

Partial least squares Regression for Cox models and related techniques.

http://www-irma.u-strasbg.fr/~fbertran/
http://cran.r-project.org/web/packages/plsRcox

This packages provides Partial least squares Regression and various techniques for fitting Cox models in high dimensionnal settings. It allows for Kfold crossvalidation of such models using various criteria, missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.

Maintainer: Frederic Bertrand
Author(s): Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>.

License: GPL-3

Uses: boot, kernlab, lars, pls, plsRglm, spls, survival, kernlab, lars, pls, survival, survivalROC, spls, plsdof, plsRglm, plsRcox
Reverse suggests: plsRcox

Released 6 months ago.

2 previous versions

Ratings

Overall:
  (0 votes)

Documentation:
  (0 votes)

Log in to vote.

Reviews

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

Related packages: BMA, BayHaz, CompetingRiskFrailty, DAAG, DPpackage, Epi, ICE, KMsurv, LearnBayes, LogicReg, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, TwoWaySurvival, VGAM, aster, bayesSurv, boot … (20 best matches, based on common tags.)

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

Visit plsRcox on R Graphical Manual.