Package: islasso 1.5.2
Gianluca Sottile
islasso: The Induced Smoothed Lasso
An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.
Authors:
islasso_1.5.2.tar.gz
islasso_1.5.2.tar.gz(r-4.5-noble)islasso_1.5.2.tar.gz(r-4.4-noble)
islasso_1.5.2.tgz(r-4.4-emscripten)islasso_1.5.2.tgz(r-4.3-emscripten)
islasso.pdf |islasso.html✨
islasso/json (API)
NEWS
| # Install 'islasso' in R: |
| install.packages('islasso', 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 9 months agofrom:205a841e62. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 05 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 05 2024 |
Exports:aic.islassoanova.islassocoef.islasso.pathconfint.islassocooks.distance.islassodeviance.islassodeviance.islasso.pathextractAIC.islassofamily.islassofitted.islasso.pathformula.islassoGoF.islasso.pathgrad.islassohess.islassoinfluence.islassois.controlislassoislasso.diagislasso.diag.plotsislasso.fitislasso.pathislasso.path.fitlogLik.islassologLik.islasso.pathmodel.frame.islassomodel.matrix.islassomodelXnobs.islassoplot.confint.islassoplot.islassoplot.islasso.pathpredict.islassopredict.islasso.pathpredislassoprint.anova.islassoprint.confint.islassoprint.islassoprint.islasso.pathprint.logLik.islasso.pathresiduals.islassoresiduals.islasso.pathrstandard.islassorstudent.islassosimulXysummary.islassosummary.islasso.pathvariable.names.islassovcov.islassoweights.islasso
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression | islasso-package |
| Optimization for the selection of the tuning parameter | aic.islasso |
| General Linear Combination method for 'islasso' objects | anova.islasso print.anova.islasso |
| Breast Cancer microarray experiment | breast |
| confint method for 'islasso' objects | confint.islasso plot.confint.islasso print.confint.islasso |
| Blood and other measurements in diabetics | diabetes |
| Optimization for the selection of the tuning parameter | GoF.islasso.path |
| Auxiliary for controlling islasso model fitting | is.control |
| The Induced Smoothed lasso | cooks.distance.islasso deviance.islasso extractAIC.islasso family.islasso formula.islasso influence.islasso islasso islasso.fit logLik.islasso model.frame.islasso model.matrix.islasso nobs.islasso print.islasso residuals.islasso rstandard.islasso rstudent.islasso variable.names.islasso vcov.islasso weights.islasso |
| The Induced Smoothed lasso path | coef.islasso.path deviance.islasso.path fitted.islasso.path islasso.path islasso.path.fit logLik.islasso.path model.matrix.islasso.path print.islasso.path print.logLik.islasso.path residuals.islasso.path |
| Diagnostics plots for Induced Smoothing Lasso Model | plot.islasso |
| plot coefficient profile from a fitted "islasso.path" object. | plot.islasso.path |
| Prediction method for islasso fitted objects | predict.islasso |
| Prediction method for islasso.path fitted objects | predict.islasso.path |
| Prostate Cancer Data | Prostate |
| Simulate model matrix and response | simulXy |
| summary method for islasso fitted objects | print.summary.islasso summary.islasso |
| summary method for islasso.path fitted objects | print.summary.islasso.path summary.islasso.path |
