Package: cossonet
Title: Sparse Nonparametric Regression for High-Dimensional Data
Version: 1.0
Authors@R: person("Jieun", "Shin", email = "jieunstat@uos.ac.kr", role = c("aut", "cre"))
Description: Estimation of sparse nonlinear functions in nonparametric
        regression using component selection and smoothing. Designed
        for the analysis of high-dimensional data, the models support
        various data types, including exponential family models and Cox
        proportional hazards models. The methodology is based on Lin
        and Zhang (2006) <doi:10.1214/009053606000000722>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
Imports: cosso, survival, stats, MASS, glmnet, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), usethis (>= 2.1.5),
        devtools
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-12 05:05:47 UTC; root
Author: Jieun Shin [aut, cre]
Maintainer: Jieun Shin <jieunstat@uos.ac.kr>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-13 12:10:06 UTC
RemoteUrl: https://github.com/cran/cossonet
RemoteRef: HEAD
RemoteSha: 8adc8b850db2670df7bda5ed42ad9de0d1c72bed