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

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.

AuthorChong Zhang, Guo Xian Yau, Yufeng Liu
Date of publication2014-11-01 21:14:20
MaintainerChong Zhang <chong.zhang@uwaterloo.ca>
LicenseGPL-2
Version1.0

View on CRAN

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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