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cosso  

Fit Regularized Nonparametric Regression Models Using COSSO Penalty
View on CRAN: Click here


Download and install cosso package within the R console
Install from CRAN:
install.packages("cosso")

Install from Github:
library("remotes")
install_github("cran/cosso")

Install by package version:
library("remotes")
install_version("cosso", "2.1-2")



Attach the package and use:
library("cosso")
Maintained by
Isaac Ray
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-12-13
Latest Update: 2023-03-08
Description:
The COSSO regularization method 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.
How to cite:
Isaac Ray (2010). cosso: Fit Regularized Nonparametric Regression Models Using COSSO Penalty. R package version 2.1-2, https://cran.r-project.org/web/packages/cosso. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-1 (2010-12-13 07:51), 2.0-1 (2012-05-04 11:16), 2.0-2 (2012-05-26 11:39), 2.1-0 (2012-12-17 06:02), 2.1-1 (2013-03-11 07:44)
Other packages that cited cosso R package
View cosso citation profile
Other R packages that cosso depends, imports, suggests or enhances
Complete documentation for cosso
Functions, R codes and Examples using the cosso R package
Some associated functions: BUPA . cosso-internal . cosso . ozone . plot.cosso . predict.cosso . tune.cosso . veteran . 
Some associated R codes: Binomial.R . Cox.R . Gaussian.R . Quantile.R . R.R . Supp.R .  Full cosso package functions and examples
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