Package: cossonet 1.0

Jieun Shin

cossonet: Sparse Nonparametric Regression for High-Dimensional Data

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>.

Authors:Jieun Shin [aut, cre]

cossonet_1.0.tar.gz
cossonet_1.0.tar.gz(r-4.5-noble)cossonet_1.0.tar.gz(r-4.4-noble)
cossonet_1.0.tgz(r-4.4-emscripten)cossonet_1.0.tgz(r-4.3-emscripten)
cossonet.pdf |cossonet.html✨
cossonet/json (API)

# Install 'cossonet' in R:
install.packages('cossonet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 4 exports 15 dependencies

Last updated 9 days agofrom:8adc8b850d. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-linux-x86_64OKMar 13 2025
R-4.4-linux-x86_64OKMar 13 2025

Exports:cossonetcossonet.predictdata_generationmetric

Dependencies:codetoolscossoforeachglmnetiteratorslatticeMASSMatrixquadprogRcppRcppEigenRglpkshapeslamsurvival

cossonet

Jieun Shin

Rendered fromcossonet.Rmdusingknitr::rmarkdownon Mar 13 2025.

Last update: 2025-03-13
Started: 2025-03-13