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.
- Version2.1.7
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- dglars citation info
- Last release10/09/2023
Documentation
Team
Luigi Augugliaro
Hassan Pazira
Show author detailsRolesAuthorErnst Wit
John Burkardt
Show author detailsRolesContributor, Copyright holderAngelo Mineo
Show author detailsRolesAuthorMichael Wichura
Show author detailsRolesContributor, Copyright holder
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- Depends1 package