Using the dglars package to estimate a sparse generalized linear model

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Abstract

dglars is a publicly available R package that implements the method proposed in Augugliaro et al. (J. R. Statist. Soc. B 75(3), 471-498, 2013) developed to study the sparse structure of a generalized linear model (GLM). This method, called dgLARS, is based on a differential geometrical extension of the least angle regression method. The core of the dglars package consists of two algorithms implemented in Fortran 90 to efficiently compute the solution curve.

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Augugliaro, L., & Mineo, A. M. (2015). Using the dglars package to estimate a sparse generalized linear model. In Advances in Statistical Models for Data Analysis (pp. 1–8). Springer International Publishing. https://doi.org/10.1007/978-3-319-17377-1_1

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