Man pages for hdi
High-Dimensional Inference
| 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 |
