cosso: Fit Regularized Nonparametric Regression Models Using COSSO Penalty.

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COSSO is a new regularization method that automatically estimates and selects important function components by a soft-thresholding penalty in the context of smoothing spline ANOVA models. Implemented models include mean regression, quantile regression, logistic regression and the Cox regression models.

Author
Hao Helen Zhang <hzhang@math.arizona.edu> and Chen-Yen Lin <clin5@ncsu.edu>
Date of publication
2013-03-11 07:44:02
Maintainer
Chen-Yen Lin <clin5@ncsu.edu>
License
GPL (>= 2)
Version
2.1-1
URLs

View on CRAN

Man pages

BUPA
BUPA Liver Disorder Data
cosso
Fit a generalized nonparametric model with cosso penalty
cosso-internal
Internal Functions
ozone
Ozone pollution data in Los Angels, 1976
plot.cosso
Plot method for COSSO object
predict.cosso
Make predictions or extract coefficients from a cosso model
tune.cosso
Tuning procedure for cosso
veteran
Veterans' Administration Lung Cancer study

Files in this package

cosso
cosso/MD5
cosso/R
cosso/R/Supp.R
cosso/R/R.R
cosso/R/Quantile.R
cosso/R/Gaussian.R
cosso/R/Cox.R
cosso/R/Binomial.R
cosso/NAMESPACE
cosso/man
cosso/man/veteran.Rd
cosso/man/tune.cosso.Rd
cosso/man/SSANOVAwt.rd
cosso/man/predict.cosso.Rd
cosso/man/plot.cosso.Rd
cosso/man/ozone.Rd
cosso/man/cosso.Rd
cosso/man/cosso-internal.Rd
cosso/man/BUPA.Rd
cosso/INDEX
cosso/DESCRIPTION
cosso/data
cosso/data/veteran.RData
cosso/data/ozone.RData
cosso/data/BUPA.RData