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dglars  

Differential Geometric Least Angle Regression
View on CRAN: Click here


Download and install dglars package within the R console
Install from CRAN:
install.packages("dglars")

Install from Github:
library("remotes")
install_github("cran/dglars")

Install by package version:
library("remotes")
install_version("dglars", "2.1.7")



Attach the package and use:
library("dglars")
Maintained by
Luigi Augugliaro
[Scholar Profile | Author Map]
First Published: 2012-11-08
Latest Update: 2020-02-26
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.
How to cite:
Luigi Augugliaro (2012). dglars: Differential Geometric Least Angle Regression. R package version 2.1.7, https://cran.r-project.org/web/packages/dglars. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.1 (2013-06-19 11:27), 1.0.2 (2013-09-04 20:43), 1.0.3 (2013-10-09 21:13), 1.0.4 (2013-12-20 09:17), 1.0.5 (2014-08-09 18:42), 1.0 (2012-11-08 13:25), 2.0.0 (2017-02-28 11:08), 2.0.1 (2018-04-24 08:20), 2.1.0 (2018-10-09 13:10), 2.1.1 (2019-04-06 11:42), 2.1.2 (2019-06-14 09:10), 2.1.3 (2019-10-09 13:30), 2.1.4 (2019-12-02 16:40), 2.1.5 (2019-12-03 18:20), 2.1.6 (2020-02-26 11:40)
Other packages that cited dglars R package
View dglars citation profile
Other R packages that dglars depends, imports, suggests or enhances
Complete documentation for dglars
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