Estimation of sparse generalized linear models: the dglars package

Risultato della ricerca: Other

Abstract

dglars is a public available R package that implements the method proposed in Augugliaro, Mineo and Wit (2013) developed to study the sparse structure of a generalized linear model. This method, called dgLARS, is based on a differential geometrical extension of the least angle regression method (LARS). The core of the dglars package consists of two algorithms implemented in Fortran 90 to efficiently compute the solution curve; specifically a predictor-corrector algorithm and a cyclic coordinate descent algorithm.
Lingua originaleEnglish
Pagine20-23
Numero di pagine4
Stato di pubblicazionePublished - 2013

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