hdi: High-Dimensional Inference
Version 0.1-6

Implementation of multiple approaches to perform inference in high-dimensional models.

AuthorLukas Meier [aut, cre], Ruben Dezeure [aut], Nicolai Meinshausen [aut], Martin Maechler [aut], Peter Buehlmann [aut]
Date of publication2017-02-20 14:06:08
MaintainerLukas Meier <meier@stat.math.ethz.ch>
LicenseGPL
Version0.1-6
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("hdi", repos="http://R-Forge.R-project.org")

Getting started

Package overview

Popular man pages

boot.lasso.proj: P-values based on the bootstrapped lasso projection method
groupBound: Lower bound on the l1-norm of groups of regression variables
lasso.proj: P-values based on lasso projection method
lm.ci: Function to calculate confidence intervals for ordinary...
lm.pval: Function to calculate p-values for ordinary multiple linear...
multi.split: Calculate P-values Based on Multi-Splitting Approach
riboflavin: Riboflavin data set
See all...

All man pages Function index File listing

Man pages

boot.lasso.proj: P-values based on the bootstrapped lasso projection method
clusterGroupBound: Hierarchical structure group tests in linear model
fdr.adjust: Function to calculate FDR adjusted p-values
glm.pval: Function to calculate p-values for a generalized linear...
groupBound: Lower bound on the l1-norm of groups of regression variables
hdi: Function to perform inference in high-dimensional...
hdi-package: hdi
lasso.cv: Select Predictors via (10-fold) Cross-Validation of the Lasso
lasso.firstq: Determine the first q Predictors in the Lasso Path
lasso.proj: P-values based on lasso projection method
lm.ci: Function to calculate confidence intervals for ordinary...
lm.pval: Function to calculate p-values for ordinary multiple linear...
multi.split: Calculate P-values Based on Multi-Splitting Approach
plotClusterGroupBound: Plot output of hierarchical testing of groups of variables
riboflavin: Riboflavin data set
ridge.proj: P-values based on ridge projection method
rXb: Generate Data Design Matrix X and Coefficient Vector beta
stability: Function to perform stability selection

Functions

Files

DESCRIPTION
NAMESPACE
R
R/boot.lasso-proj.R
R/hdi.R
R/helpers.R
R/helpers.nodewise.R
R/lasso-proj.R
R/lower-bound.R
R/methods.R
R/multi-split.R
R/multi-split.hierarchical.R
R/reference.datasets.R
R/ridge-proj.R
R/stability.R
build
build/partial.rdb
data
data/datalist
data/riboflavin.RData
inst
inst/CITATION
inst/NEWS.Rd
man
man/boot.lasso.proj.Rd
man/clusterGroupBound.rd
man/fdr.adjust.Rd
man/glm.pval.Rd
man/groupBound.rd
man/hdi-package.Rd
man/hdi.Rd
man/lasso.cv.Rd
man/lasso.firstq.Rd
man/lasso.proj.Rd
man/lm.ci.Rd
man/lm.pval.Rd
man/multi.split.Rd
man/plotClusterGroupBound.rd
man/rXb.rd
man/riboflavin.Rd
man/ridge.proj.Rd
man/stability.Rd
tests
tests/ex-clusterGroupBound.R
tests/ex-lasso.proj.R
tests/ex-plotClusterGroupBound.R
tests/groupTsts.R
tests/test-lasso.R
tests/test-multisplit.R
tests/test-ridge.R
tests/test-stability.R
hdi documentation built on May 21, 2017, 1:04 a.m.

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