Package: dglars
Type: Package
Title: Differential Geometric Least Angle Regression
Version: 2.1.7
Date: 2023-10-08
Authors@R: c(person(given = "Luigi", family = "Augugliaro", email = "luigi.augugliaro@unipa.it", role = c("aut", "cre")),
             person(given = "Angelo", family = "Mineo", role = "aut"),
             person(given = "Ernst", family = "Wit", role = "aut"),
             person(given = "Hassan", family = "Pazira", role = "aut"),
             person(given = "Michael", family = "Wichura", role = c("ctb", "cph")),
             person(given = "John", family = "Burkardt", role = c("ctb", "cph")))
Author: Luigi Augugliaro [aut, cre], Angelo Mineo [aut], Ernst Wit
        [aut], Hassan Pazira [aut], Michael Wichura [ctb, cph], John
        Burkardt [ctb, cph]
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>
Imports: methods
Description: Differential geometric least angle regression method for
        fitting sparse generalized linear models. In this version of
        the package, the user can fit models specifying Gaussian,
        Poisson, Binomial, Gamma and Inverse Gaussian family.
        Furthermore, several link functions can be used to model the
        relationship between the conditional expected value of the
        response variable and the linear predictor. The solution curve
        can be computed using an efficient predictor-corrector or a
        cyclic coordinate descent algorithm, as described in the paper
        linked to via the URL below.
License: GPL (>= 2)
URL: https://www.jstatsoft.org/v59/i08/.
LazyLoad: yes
Depends: Matrix, R (>= 3.2)
NeedsCompilation: yes
Packaged: 2026-06-07 09:38:38 UTC; root
Repository: https://luigiaugugliaro.r-universe.dev
Date/Publication: 2023-10-09 18:32:27 UTC
RemoteUrl: https://github.com/cran/dglars
RemoteRef: HEAD
RemoteSha: 048808111f2cd43536cdf27b1d2b7acc4ddddcee