Package: dglars 2.1.7

Luigi Augugliaro

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
dglars_2.1.7.tar.gz(r-4.5-noble)dglars_2.1.7.tar.gz(r-4.4-noble)
dglars_2.1.7.tgz(r-4.4-emscripten)dglars_2.1.7.tgz(r-4.3-emscripten)
dglars.pdf |dglars.html
dglars/json (API)

# Install 'dglars' in R:
install.packages('dglars', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • alon - Data from the microarray experiment done by Alon et al.
  • breast - Breast Cancer microarray experiment
  • duke - Duke breast cancer microarray experiment

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

fortranopenblas

1.28 score 1 stars 19 scripts 333 downloads 1 mentions 33 exports 2 dependencies

Last updated 1 years agofrom:048808111f. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linux-x86_64NOTEDec 02 2024

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