dglars

Differential Geometric Least Angle Regression

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.

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Description file content

Package
dglars
Type
Package
Title
Differential Geometric Least Angle Regression
Version
2.1.0
Date
2018-10-09
Author
Luigi Augugliaro
Maintainer
Luigi Augugliaro
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
LazyLoad
yes
Depends
Matrix, R (>= 3.2)
NeedsCompilation
yes
Repository
CRAN
Packaged
2018-10-09 10:32:46 UTC; luigiaugugliaro
Date/Publication
2018-10-09 11:10:03 UTC

install.packages('dglars')

2.1.0

10 days ago

http://www.jstatsoft.org/v59/i08/.

Luigi Augugliaro

GPL (>= 2)

Depends on

Matrix, R (>= 3.2)

Imports

methods

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