Scores Features for Feature Selection

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Documentation for package ‘FeaLect’ version 1.20

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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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.