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.

Install the latest version of this package by entering the following in R:
AuthorLuigi Augugliaro
Date of publication2017-02-28 11:08:35
MaintainerLuigi Augugliaro <luigi.augugliaro@unipa.it>
LicenseGPL (>= 2)

View on CRAN


AIC.dglars Man page
alon Man page
BIC.dglars Man page
breast Man page
coef.cvdglars Man page
coef.dglars Man page
cvdglars Man page
cvdglars_ccd Man page
cvdglars.fit Man page
cvdglars_pc Man page
d2mu_de2_mk Man page
d2th_dmu2_mk Man page
dglars Man page
dglars_ccd Man page
dglars.fit Man page
dglars-package Man page
dglars_pc Man page
duke Man page
gdf Man page
logLik.dglars Man page
make_action Man page
make_coef Man page
make_cvdglars Man page
make_dglars Man page
make_ru Man page
make_summary_table Man page
phihat Man page
plot.cvdglars Man page
plot.dglars Man page
predict.dglars Man page
print.cvdglars Man page
print.dglars Man page
print.gof_dglars Man page
print.loglik_dglars Man page
setDiff Man page
summary.dglars Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.