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SEMMS

An R package to perform variable selection in the 'large P, small N' setting. It supports normal, binary, and count response types (generalized linear models). It allows the user to specify locked-in variables - predictors which must be included in the model.

See the vignettes folder for detailed examples. In particular, SEMMS.pdf and classificationWithSEMMS.pdf.

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