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:Hao Helen Zhang [aut, cph], Chen-Yen Lin [aut, cph], Isaac Ray [cre, ctb]

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)
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48 exports 1 stars 0.00 score 13 dependencies 18 scripts 272 downloads

Last updated 2 years agofrom:081b3ba559. Checks:OK: 2. Indexed: yes.

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