R: Scores Features for Feature Selection

# Scores Features for Feature Selection

## Documentation for package ‘FeaLect’ version 1.20

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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.