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lasso2 (version 1.2-5)

L1 constrained estimation aka `lasso'

Description

Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998)

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Version

Install

install.packages('lasso2')

Monthly Downloads

210

Version

1.2-5

License

GPL version 2 or later

Maintainer

Berwin Turlach

Last Published

October 8th, 2021

Functions in lasso2 (1.2-5)

Prostate

Prostate Cancer Data
Iowa

The Iowa Wheat Yield Data
Extract.l1celist

Extract Parts of a `l1celist' Object
coef.l1ce

Coefficients of an `l1ce' Object
deviance.l1ce

Deviance Method for `l1ce' and `l1celist' Objects
l1ce.object

L1 Constrainted Estimation Model Object
coef.l1celist

Coefficients of an `l1celist' Object
gcv

Generalised Cross-Validation Score
residuals.l1ce

Residuals of `l1ce' or `l1celist' Objects
summary.gl1ce

Summary Method for Generalized L1 Constrained Regression Models
is.formula

Tests for Formula Objects
l1celist.object

Object of Several L1 Constrained Estimation Models
gcv.l1ce

`gcv()' Methods for `l1ce' and `l1celist' Objects.
labels.l1ce

`Labels' Method for `l1ce' and `l1celist' Objects
plot.l1celist

Plot Method for `l1celist' Objects
fitted.l1ce

Fitted Values for `l1ce', `l1celist' and `gl1ce' Objects
vcov.l1ce

Variance-Covariance Matrix of `l1ce' or `l1celist' Objects
tr

Trace of a Matrix
gl1ce.object

Generalized L1 Constrained Estimation Model Object
print.l1ce

Print Methods for `l1ce', `l1celist' and `gl1ce' Objects
gl1ce

Generalized Regression With L1-constraint on the Parameters
merge.formula

Merge Formula With Right Hand Side of Second Formula
predict.gl1ce

Prediction Method for a `gl1ce' Object
predict.l1ce

Predict Method for `l1ce' Objects
lasso-internal

Internal lasso functions
residuals.gl1ce

Compute Residuals for `gl1ce' Objects
aux

Extract Auxiliary Information From an Object
qr.rtr.inv

Reconstruct the Inverse of R'R from a QR Object
deviance.gl1ce

Deviance Method for `gl1ce' Objects
summary.l1ce

Summary Method for ``l1ce'' Objects (Regression with L1 Constraint)
aux.l1celist

Use `aux()' on a `l1celist' object
l1ce

Regression Fitting With L1-constraint on the Parameters