| MDR-package | Detect gene-gene interactions using multifactor dimensionality reduction |
| boot.error | Function to calculate a post-hoc prediction estimate of classification error adjusted for population prevalence using bootstrap resampling |
| compare | Function for internal use only ... |
| MDR | Detect gene-gene interactions using multifactor dimensionality reduction |
| mdr | Function to perform MDR on a dataset for a given set of loci |
| mdr.3WS | A function to perform MDR on a dataset using the three-way split for internal validation. |
| mdr.ca.adj | Function to calculate a post-hoc adjusted prediction estimate of classification accuracy, corrected for prospective data with previously estimated population prevalence |
| mdr.cv | A function to perform MDR on a dataset using k-fold cross-validation for internal validation. |
| mdr.hr | Function to estimate the accuracy of an MDR model given high-risk/low-risk status of genotype combinations |
| mdr1 | Sample data for MDR package for n=250, p=25 |
| mdr2 | Sample data for MDR package for n=250, p=100 |
| permute.mdr | Function to perform a permutation test after fitting an MDR model |
| plot.mdr | Plotting the results of an MDR model |
| predict.mdr | MDR model predictions |
| summary.mdr | Summarizing the results of an MDR model |
| test | Sample data for MDR package for n=1000, p=5000 |
| train | Sample data for MDR package for n=1000, p=5000 |