hdi v0.1-6

0

Monthly downloads

0th

Percentile

High-Dimensional Inference

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

Functions in hdi

Name Description
lm.pval Function to calculate p-values for ordinary multiple linear regression.
glm.pval Function to calculate p-values for a generalized linear model.
ridge.proj P-values based on ridge projection method
stability Function to perform stability selection
hdi-package hdi
lm.ci Function to calculate confidence intervals for ordinary multiple linear regression.
lasso.proj P-values based on lasso projection method
multi.split Calculate P-values Based on Multi-Splitting Approach
riboflavin Riboflavin data set
fdr.adjust Function to calculate FDR adjusted p-values
hdi Function to perform inference in high-dimensional (generalized) linear models
lasso.firstq Determine the first q Predictors in the Lasso Path
lasso.cv Select Predictors via (10-fold) Cross-Validation of the Lasso
No Results!

Last month downloads

Details

Type Package
Date 2016-03-21
DependsNote scalreg does not correctly import lars etc, so we need to depend on it
SuggestsNote for tests only
Encoding UTF-8
License GPL
NeedsCompilation no
Packaged 2016-03-21 13:32:38 UTC; meierluk
Repository CRAN
Date/Publication 2016-03-21 23:19:29

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/hdi)](http://www.rdocumentation.org/packages/hdi)