The version 1.1 update to my glmnetUtils package is now available on CRAN. glmnetUtils provides a formula interface for the 'glmnet' package for elasticnet regression, a method for cross-validating the alpha parameter, and other quality-of-life tools.
>From the NEWS.md file: - Now allows interaction and expression terms without requiring use.model.frame=TRUE. This works in an additive fashion, ie the formula ~ a + b:c + d*e is treated as consisting of three terms, a, b:c and d*e each of which is processed independently of the others. A dot in the formula includes all main effect terms, ie ~ . + a:b + f(x) expands to ~ a + b + x + a:b + f(x) (assuming a, b and x are the only columns in the data). Note that a formula like ~ (a + b) + (c + d) will be treated as two terms, a + b and c + d. - The call component of a glmnet/cv.glmnet object that uses the original matrix/vector interface is now useful. - You can now explicitly specify the vector of crossvalidation folds (for the inner loop over lambda) when calling cva.glmnet. - Correctly handle non-syntactic factor variables in a formula. You can download it from: https://cran.r-project.org/package=glmnetUtils _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
