Authors@R: c(person("Richard", "Barnes",    role = c("aut", "cre"), email = "rijard.barnes@gmail.com"),
person("Kevin",   "Sahr",      role = c("cph", "ctb"), email = "sahrk@sou.edu"),
person("Frank",   "Warmerdam", role = "cph"),
person("Even",    "Rouault",   role = "cph"),
person("Lian",    "Song",      role = "ctb")

Title: Differential Geometric LARS (dgLARS) method
Description: dglars implements the differential geometric extension of
the least angle regression method for logistic and Poisson
regression models. To compute the implicitly defined solution
curve, two different algorithms are implemented, i.e. the
predictor-corrector method and the cyclic coordinate descent

Description: dglars implements the differential geometric extension
of the least angle regression method for logistic and Poisson

Packaged: 2014-08-09 14:34:46 UTC; francesca

Title: Differential Geometric Least Angle Regression
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.
Packaged: 2017-02-28 08:35:33 UTC; luigiaugugliaro

Packaged: 2018-04-24 06:08:10 UTC; luigiaugugliaro

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.
Packaged: 2018-10-09 10:32:46 UTC; luigiaugugliaro