smac: Sparse Multi-category Angle-Based Large-Margin Classifiers

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This package provides a solution path for L1-penalized angle-based classification. Three loss functions are implemented in smac, including the deviance loss in logistic regression, the exponential loss in boosting, and the proximal support vector machine loss.

Author
Chong Zhang, Guo Xian Yau, Yufeng Liu
Date of publication
2014-11-01 21:14:20
Maintainer
Chong Zhang <chong.zhang@uwaterloo.ca>
License
GPL-2
Version
1.0

View on CRAN

Man pages

cvsmac
A cross validation function for smac.
ex1.data
Toy example data set used in smac
predict.cvsmac
A function that provides class label prediction and class...
predict.smac
A function that provides class label prediction and class...
smac
Classification function that provides solution path to...

Files in this package

smac
smac/inst
smac/inst/doc
smac/inst/doc/smac.pdf
smac/src
smac/src/anglepsvm.c
smac/src/anglebooststart.c
smac/src/anglepsvmstart.c
smac/src/anglelogi.c
smac/src/angleboost.c
smac/src/anglelogistart.c
smac/NAMESPACE
smac/data
smac/data/ex1.data.rda
smac/R
smac/R/firs.r
smac/R/angle_psvm.r
smac/R/predict.smac.r
smac/R/boostway2.r
smac/R/logiway1.r
smac/R/Y.matrix.gen.r
smac/R/psvmway2.r
smac/R/logiway2.r
smac/R/cvsmac.R
smac/R/XI.gen.r
smac/R/boostway1.r
smac/R/pred.r
smac/R/angle_logi.r
smac/R/smac.r
smac/R/prob.pred.angle.r
smac/R/psvmway1.r
smac/R/pred.angle.r
smac/R/angle_boost.r
smac/R/predict.cvsmac.r
smac/MD5
smac/DESCRIPTION
smac/man
smac/man/smac.Rd
smac/man/ex1.data.Rd
smac/man/predict.smac.Rd
smac/man/predict.cvsmac.Rd
smac/man/cvsmac.Rd