Scores features for Feature seLection

Documentation for package ‘FeaLect’ version 1.1

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 validaing 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	Fittes various models based on a combination on penalized linear models and logistic regression.