A toolbox for designing and evaluating predictive models with resampling methods. The aim of this package is to provide a simple and efficient general framework for working with any type of prediction problem, be it classification, regression or survival analysis, that is easy to extend and adapt to your specific setting. Some commonly used methods for classification, regression and survival analysis are included.
Version: | 2.2.8 |
Imports: | data.table, dplyr, ggplot2 (≥ 2.0.0), graphics, grDevices, lazyeval, magrittr, methods, Rcpp (≥ 0.12.1), stats, tidyr, utils |
LinkingTo: | Rcpp |
Suggests: | caret, cmprsk, e1071, glmnet, Hmisc, MASS, parallel, party, pamr, randomForest, RColorBrewer, rpart, survival, testthat (≥ 0.9.1) |
Published: | 2017-07-06 |
Author: | Christofer Backlin [aut, cre], Mats Gustafsson [aut] |
Maintainer: | Christofer Backlin <emil at christofer.backlin.se> |
BugReports: | https://github.com/Molmed/emil/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/Molmed/emil |
NeedsCompilation: | yes |
Citation: | emil citation info |
CRAN checks: | emil results |
Reference manual: | emil.pdf |
Package source: | emil_2.2.8.tar.gz |
Windows binaries: | r-devel: emil_2.2.8.zip, r-release: emil_2.2.8.zip, r-oldrel: emil_2.2.8.zip |
OS X El Capitan binaries: | r-release: emil_2.2.8.tgz |
OS X Mavericks binaries: | r-oldrel: emil_2.2.8.tgz |
Old sources: | emil archive |
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