Learn R Programming
⚠️There's a newer version (2.1.7) of this package.Take me there.

dglars (version 1.0.4)

Differential Geometric LARS (dgLARS) method

Description

dglars implements the differential geometric extension of the least angle regression method for logistic and Poisson regression models. To compute the implicitly defined solution curve, two different algorithms are implemented, i.e. the predictor-corrector method and the cyclic coordinate descent method.

Copy Link

Version

Install

install.packages('dglars')

Monthly Downloads

208

Version

1.0.4

License

GPL (>= 2)

Maintainer

Luigi Augugliaro

Last Published

December 20th, 2013

Functions in dglars (1.0.4)

cvdglars

Cross-validation deviance for dgLARS
dglars

dgLARS solution curve for GLM
print.dglars

Print a dglars object
plot.cvdglars

Plot from a cvdglars object
print.cvdglars

Print a cvdglars object
alon

Data from the microarray experiment done by Alon et al. (1999)
breast

Breast Cancer microarray experiment
dglars-internal

Internal dglars functions
coef.cvdglars

Extract the coefficients estimated by cvdglars
summary.dglars

Print the summary for a dglars object
gdf

Compute the generalized degrees-of-freedom.
plot.dglars

Plot from a dglars object
duke

Duke breast cancer microarray experiment
dglars-package

Differential geometric LARS (dgLARS) method for some generalized linear models
coef.dglars

Extract the path of the coefficients