Package: cosso 2.1-2
Isaac Ray
cosso: Fit Regularized Nonparametric Regression Models Using COSSO Penalty
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.
Authors:
cosso_2.1-2.tar.gz
cosso_2.1-2.tar.gz(r-4.5-noble)cosso_2.1-2.tar.gz(r-4.4-noble)
cosso_2.1-2.tgz(r-4.4-emscripten)cosso_2.1-2.tgz(r-4.3-emscripten)
cosso.pdf |cosso.html✨
cosso/json (API)
NEWS
| # Install 'cosso' in R: |
| install.packages('cosso', 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 2 years agofrom:081b3ba559. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
Exports:ACV.lambdabigGramcossocosso.Binomialcosso.Coxcosso.Cox.Parallelcosso.Cox.Sequentialcosso.Gaussiancosso.qrcosso.qr.Parallelcosso.qr.Sequentialcvlam.Gaussiancvlam.logisticcvsplitIDgarrote.Coxgarrote.Logisticgarrote.Logistic.GHgarrote.qrgenKgenK.catgradient.Hessian.Cgradient.Hessian.ThetakqrMy_solveMy_solve.QPPartialLikplot.cossopredict.cossorescalerhoRiskSetSSANOVAwtSSANOVAwt.BinomialSSANOVAwt.CoxSSANOVAwt.GaussianSSANOVAwt.qrssplinesspline.Binomialsspline.Coxtune.cossotune.cosso.Binomialtune.cosso.Coxtune.cosso.Gaussiantwostep.Binomialtwostep.Coxtwostep.Gaussiantwostep.qrwsGram
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixquadprogRcppRcppEigenRglpkshapeslamsurvival
