# hdi v0.1-6

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## 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!