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. |