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.

Documentation

Manual: emil.pdf
Vignette: None available.

Maintainer: Christofer Backlin <emil at christofer.backlin.se>

Author(s): Christofer Backlin*, Mats Gustafsson*

Install package and any missing dependencies by running this line in your R console:

install.packages("emil")

Depends
Imports data.table, dplyr, ggplot2(>=2.0.0), graphics, grDevices, lazyeval, magrittr, methods, Rcpp(>=0.12.1), stats, tidyr, utils
Suggests caret, cmprsk, e1071, glmnet, Hmisc, MASS, parallel, party, pamr, randomForest, RColorBrewer, rpart, survival, testthat(>=0.9.1)
Enhances
Linking to Rcpp
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depends
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imports
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suggests
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linking to

Package emil
Materials
URL https://github.com/Molmed/emil
Task Views
Version 2.2.6
Published 2016-06-21
License GPL (>= 2)
BugReports https://github.com/Molmed/emil/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks emil check results
Package source emil_2.2.6.tar.gz