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
