subsemble

Package: subsemble
Type: Package
Title: An Ensemble Method for Combining Subset-Specific Algorithm Fits
Version: 0.0.9
Date: 2014-07-01
Author: Erin LeDell, Stephanie Sapp, Mark van der Laan
Maintainer: Erin LeDell <ledell@berkeley.edu>
Description: Subsemble is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of V-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble.
License: GPL (>= 2)
Depends: R (>= 2.14.0), SuperLearner
Suggests: arm, caret, class, e1071, earth, gam, gbm, glmnet, Hmisc,
ipred, lattice, LogicReg, MASS, mda, mlbench, nnet, parallel,
party, polspline, quadprog, randomForest, rpart, SIS, spls,
stepPlr
LazyLoad: yes
Packaged: 2014-07-01 05:55:13 UTC; ledell
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-07-01 09:37:47

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'subsemble' ...
** package 'subsemble' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'subsemble'
    finding HTML links ... done
    predict.subsemble                       html  
    subsemble-package                       html  
    subsemble                               html  
** building package indices
** testing if installed package can be loaded
* DONE (subsemble)
Making 'packages.html' ... done