hdlm: Fitting High Dimensional Linear Models
Version 0.2

Mimics the lm function found in the recommended package stats to fit high dimensional regression models with point estimates, standard errors, and p-values. Methods for printing and summarizing the results are given. Supports lasso estimator, Dantzig selector, mc+, root-lasso, and scad. Methods are provided for the resulting class hdlm corresponding to methods for the class lm.

AuthorTaylor B. Arnold
Date of publicationNone
MaintainerTaylor B. Arnold <taylor.arnold@yale.edu>
LicenseGPL (>= 2.0)
Version0.2
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("hdlm", repos="http://R-Forge.R-project.org")

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hdlm: Fitting High Dimensional Linear Models
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Man pages

hdlm: Fitting High Dimensional Linear Models

Functions

HDprintCoefmat Man page Source code
anova.hdlm Man page Source code
case.names.hdlm Man page Source code
deviance.hdlm Man page Source code
df.residual.hdlm Man page Source code
dselector Man page Source code
effects.hdlm Man page Source code
family.hdlm Man page Source code
formula.hdlm Man page Source code
hdlm Man page Source code
hdlm.fit Man page Source code
labels.hdlm Man page Source code
model.frame.hdlm Man page Source code
model.matrix.hdlm Man page Source code
plot.hdlm Man page Source code
predict.hdlm Man page Source code
print.hdlm Man page Source code
print.summary.hdlm Man page Source code
qr.hdlm Man page Source code
residuals.hdlm Man page Source code
rootlasso Man page Source code
simulate.hdlm Man page Source code
summary.hdlm Man page Source code
variable.names.hdlm Man page Source code

Files

NAMESPACE
R
R/hdlm.R
R/hdlm.fit.R
R/dselector.R
R/rootlasso.R
R/HDprintCoefmat.R
DESCRIPTION
man
man/hdlm.Rd
hdlm documentation built on May 21, 2017, 3:48 a.m.

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