Package: polywog 0.4-2
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_0.4-2.tar.gz
polywog_0.4-2.zip(r-4.7)polywog_0.4-2.zip(r-4.6)polywog_0.4-2.zip(r-4.5)
polywog_0.4-2.tgz(r-4.6-x86_64)polywog_0.4-2.tgz(r-4.6-arm64)polywog_0.4-2.tgz(r-4.5-x86_64)polywog_0.4-2.tgz(r-4.5-arm64)
polywog_0.4-2.tar.gz(r-4.7-arm64)polywog_0.4-2.tar.gz(r-4.7-x86_64)polywog_0.4-2.tar.gz(r-4.6-arm64)polywog_0.4-2.tar.gz(r-4.6-x86_64)
polywog_0.4-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/issues
Last updated from:8803edf04a. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 182 | ||
| linux-devel-x86_64 | OK | 190 | ||
| source / vignettes | OK | 287 | ||
| linux-release-arm64 | OK | 149 | ||
| linux-release-x86_64 | OK | 153 | ||
| macos-release-arm64 | OK | 199 | ||
| macos-release-x86_64 | OK | 334 | ||
| macos-oldrel-arm64 | OK | 165 | ||
| macos-oldrel-x86_64 | OK | 402 | ||
| windows-devel | OK | 145 | ||
| windows-release | OK | 203 | ||
| windows-oldrel | OK | 209 | ||
| wasm-release | OK | 125 |
Exports:bootPolywogcontrol.bpcv.polywogpolywogpredVals
Dependencies:clicodetoolsdigestforeachFormulaglmnetglueiteratorslatticelifecyclemagrittrMatrixmiscToolsncvregRcppRcppEigenrlangshapestringistringrsurvivalvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 |
