Model selection algorithms for regression and classification, where the predictors can be numerical and categorical and the number of regressors exceeds the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka (2015)
|Author||Agnieszka Prochenka-Sołtys, Piotr Pokarowski|
|Date of publication||2018-03-24 10:45:01 UTC|
|Maintainer||Agnieszka Prochenka-Sołtys <[email protected]>|
|Package repository||View on CRAN|
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