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 |