Package: dglars 2.1.7

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.

Authors:Luigi Augugliaro [aut, cre], Angelo Mineo [aut], Ernst Wit [aut], Hassan Pazira [aut], Michael Wichura [ctb, cph], John Burkardt [ctb, cph]

dglars_2.1.7.tar.gz
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dglars.pdf |dglars.html✨
dglars/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

33 exports 1 stars 0.61 score 2 dependencies 1 mentions 19 scripts 352 downloads

Last updated 11 months agofrom:048808111f. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:AIC.dglarsBIC.dglarscoef.cvdglarscoef.dglarscvdglarscvdglars_ccdcvdglars_pccvdglars.fitd2mu_de2_mkd2th_dmu2_mkdglarsdglars_ccddglars_pcdglars.fitgdfgrcvlogLik.dglarsmake_actionmake_coefmake_cvdglarsmake_dglarsmake_rumake_summary_tablephihatplot.cvdglarsplot.dglarspredict.dglarsprint.cvdglarsprint.dglarsprint.gof_dglarsprint.loglik_dglarssetDiffsummary.dglars

Dependencies:latticeMatrix