Introduction | Installation | Data generation | Model fitting | Prediction | References
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:
cossonet_1.0.tar.gz
cossonet_1.0.tar.gz(r-4.7-arm64)cossonet_1.0.tar.gz(r-4.7-x86_64)cossonet_1.0.tar.gz(r-4.6-arm64)cossonet_1.0.tar.gz(r-4.6-x86_64)
cossonet_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cossonet/json (API)
| # Install 'cossonet' in R: |
| install.packages('cossonet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8adc8b850d. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 199 | ||
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 216 | ||
| linux-release-arm64 | OK | 146 | ||
| linux-release-x86_64 | OK | 162 | ||
| wasm-release | OK | 132 |
Exports:cossonetcossonet.predictdata_generationmetric
Dependencies:codetoolscossoforeachglmnetiteratorslatticeMASSMatrixquadprogRcppRcppEigenRglpkshapeslamsurvival
