Package: polywog 0.4-1
polywog: Bootstrapped Basis Regression with Oracle Model Selection
Routines for flexible functional form estimation via basis regression, with model selection via the adaptive LASSO or SCAD to prevent overfitting.
Authors:
polywog_0.4-1.tar.gz
polywog_0.4-1.zip(r-4.5)polywog_0.4-1.zip(r-4.4)polywog_0.4-1.zip(r-4.3)
polywog_0.4-1.tgz(r-4.4-x86_64)polywog_0.4-1.tgz(r-4.4-arm64)polywog_0.4-1.tgz(r-4.3-x86_64)polywog_0.4-1.tgz(r-4.3-arm64)
polywog_0.4-1.tar.gz(r-4.5-noble)polywog_0.4-1.tar.gz(r-4.4-noble)
polywog_0.4-1.tgz(r-4.4-emscripten)polywog_0.4-1.tgz(r-4.3-emscripten)
polywog.pdf |polywog.html✨
polywog/json (API)
| # Install 'polywog' in R: |
| install.packages('polywog', repos = c('https://brentonk.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/brentonk/polywog-package/issues
Last updated 7 years agofrom:512f73fb68. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 25 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 25 2024 |
| R-4.4-win-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-aarch64 | OK | Oct 25 2024 |
| R-4.3-win-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-aarch64 | OK | Oct 25 2024 |
Exports:bootPolywogcontrol.bpcv.polywogpolywogpredVals
Dependencies:clicodetoolsdigestforeachFormulaglmnetglueiteratorslatticelifecyclemagrittrMatrixmiscToolsncvregRcppRcppEigenrlangshapestringistringrsurvivalvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bootstrapped basis regression with oracle model selection | polywog-package |
| Bootstrap a fitted polywog model | bootPolywog control.bp |
| Cross-validation of polynomial degree and penalization factor | cv.polywog |
| Marginal effects for polywog models | margEff.polywog |
| Model frame of a polywog model | model.frame.polywog |
| Model matrix of a polywog model | model.matrix.polywog |
| Plot marginal effects | plot.margEff.polywog |
| Univariate and bivariate fitted value plots | plot.polywog |
| Polynomial regression with oracle variable selection | polywog |
| Predict method for polywog objects | predict.polywog |
| Easy computation of fitted values | predVals |
| Summarize marginal effects | summary.margEff.polywog |
| Summarize a fitted polywog model | summary.polywog |
