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>.
Version: 1.0 Imports: cosso, survival, stats, MASS, glmnet, graphics Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), usethis (≥ 2.1.5), devtools Published: 2025-03-13 DOI: 10.32614/CRAN.package.cossonet Author: Jieun Shin [aut, cre] Maintainer: Jieun Shin <jieunstat at uos.ac.kr> License: GPL-3 NeedsCompilation: yes Materials: README CRAN checks: cossonet results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=cossonet to link to this page.
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