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cosso
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.cosso . cosso results . cosso.pdf . cosso_2.1-2.tar.gz . cosso_2.1-2.zip . cosso_2.1-2.zip . cosso_2.1-2.zip . cosso_2.1-2.tgz . cosso_2.1-2.tgz . cosso_2.1-2.tgz . cosso_2.1-2.tgz . cosso_2.1-2.tgz . cosso_2.1-2.tgz . cosso archive . cossonet . https://CRAN.R-project.org/package=cosso .
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 13 Apr. 2025.
Previous versions and publish date:
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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