clusterGroupBound       Group test of variable importance in a
                        high-dimensional linear model, using a
                        hierarchical structure.
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
hdi-package             hdi
lasso.cv                Function to select predictors based on 10-fold
                        cross-validation of the lasso estimator.
lasso.firstq            Function to 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             Function to 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
stability               Function to perform stability selection
