High-Dimensional Inference

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Documentation for package ‘hdi’ version 0.1-10

• DESCRIPTION file.
• Package NEWS.

Help Pages

hdi-package	hdi
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 model.
groupBound	Lower bound on the l1-norm of groups of regression variables
hdi	Function to perform inference in high-dimensional (generalized) linear models
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 multiple linear regression.
lm.pval	Function to calculate p-values for ordinary multiple linear regression.
multi.split	Calculate P-values Based on Multi-Splitting Approach
plot.clusterGroupBound	Plot output of hierarchical testing of groups of variables
riboflavin	Riboflavin data set
ridge.proj	P-values based on ridge projection method
rX	Generate Data Design Matrix X and Coefficient Vector beta
rXb	Generate Data Design Matrix X and Coefficient Vector beta
stability	Function to perform stability selection