msda: Multi-Class Sparse Discriminant Analysis

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Efficient procedures for computing a new Multi-Class Sparse Discriminant Analysis method that estimates all discriminant directions simultaneously.

Author
Qing Mai <mai@stat.fsu.edu>, Yi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Date of publication
2015-02-20 09:16:53
Maintainer
Yi Yang <yiyang@umn.edu>
License
GPL-2
Version
1.0.2
URLs

View on CRAN

Man pages

cv.msda
Cross-validation for msda
GDS1615
GDS1615 data introduced in Burczynski et al. (2012).
msda
Fits a regularization path for Multi-Class Sparse...
plot.msda
Plot coefficients from a "msda" object
predict.msda
make predictions from a "msda" object.

Files in this package

msda
msda/COPYING
msda/src
msda/src/msda_new.f90
msda/NAMESPACE
msda/data
msda/data/GDS1615.rda
msda/R
msda/R/predict.msda.R
msda/R/utilities.R
msda/R/cv.msda.R
msda/R/plot.msda.R
msda/R/msda.R
msda/MD5
msda/DESCRIPTION
msda/ChangeLog
msda/man
msda/man/msda.Rd
msda/man/plot.msda.Rd
msda/man/predict.msda.Rd
msda/man/cv.msda.Rd
msda/man/GDS1615.Rd