| FeaLect-package | Scores Features for Feature Selection |
| compute.balanced | Balances between negative and positive samples by oversampling. |
| compute.logistic.score | Fits a logistic regression model using the linear scores |
| doctor.validate | Validates a model using validating samples. |
| FeaLect | Computes the scores of the features. |
| ignore.redundant | Refines a feature matrix |
| input.check.FeaLect | Checks the inputs to Fealect() function. |
| mcl_sll | MCL and SLL lymphoma subtypes |
| random.subset | Selects a random subset of the input. |
| train.doctor | Fits various models based on a combination on penalized linear models and logistic regression. |