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
Insights
Last 30 days
This package has been downloaded 386 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,059 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 51 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Depends1 package