plusminus.fit: PlusMinus (Mas-o-Menos)

In mvdalab: Multivariate Data Analysis Laboratory

PlusMinus (Mas-o-Menos)

Description

Plus-Minus classifier

Usage

plusminus.fit(XX, YY, ...)

Arguments

XX	a matrix of observations. NAs and Infs are not allowed.
YY	a vector. NAs and Infs are not allowed.
...	additional arguments. Currently ignored.

Details

This function should not be called directly, but through plusminusFit with the argument method="plusminus". It implements the Plus-Minus algorithm.

Value

An object of class plusminus is returned. The object contains all components returned by the underlying fit function. In addition, it contains the following:

coefficients	regression coefficients
Y	response values
X	scaled predictors

Author(s)

Richard Baumgartner ([e-mail]), Nelson Lee Afanador ([e-mail])

References

Zhao et al. (2014) Mas-o-menos: a simple sign averaging method for discriminationin genomic data analysis. Bioinformatics, 30(21):3062-3069.

See Also

plusminusFit

mvdalab documentation built on Oct. 6, 2022, 1:05 a.m.