Evaluation of Modeling without Information Leakage

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.


News and Changelog

  • Fixed broken cross-references in the documentation.
  • Corrected bugs in the tests.
  • Functions for generating dummy variables for unordered and ordered factors.
  • Added wrappers for SVM and naive Bayes classifiers (using the e1071 package).
  • Updated package for ggplot2 v1.0.1.9003 and the coming update in december (#3).
  • Added the news and changelog.
  • Changed the representation of selected features from logical to integer. This was to allow multiple features to be generated from a single original feature by the pre-processing functions (analogously to the representation of oversampled observations in resampling schemes).
  • Added a function for generating binary features from factors (factor_to_logical) and a pre-processing wrapper for it (pre_factor_to_logical).
  • Changed all unqualified non-default package imports to qualified imports.
  • Changed the dependency on dplyr to an import and re-export the select function (#2). The initial purpose of having dplyr as a dependency rather than an import was to automatically attach it upon loading emil to allow class-specific extension to select. The current solution provides the same functionality without affecting the global search path.

Reference manual

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2.2.6 by Christofer Backlin, 9 months ago


Report a bug at https://github.com/Molmed/emil/issues

Browse source code at https://github.com/cran/emil

Authors: Christofer Backlin [aut, cre], Mats Gustafsson [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports data.table, dplyr, ggplot2, graphics, grDevices, lazyeval, magrittr, methods, Rcpp, stats, tidyr, utils

Suggests caret, cmprsk, e1071, glmnet, Hmisc, MASS, parallel, party, pamr, randomForest, RColorBrewer, rpart, survival, testthat

Linking to Rcpp

See at CRAN