Package: hfr 0.7.1
hfr: Estimate Hierarchical Feature Regression Models
Provides functions for the estimation, plotting, predicting and cross-validation of hierarchical feature regression models as described in Pfitzinger (2024). Cluster Regularization via a Hierarchical Feature Regression. Econometrics and Statistics (in press). <doi:10.1016/j.ecosta.2024.01.003>.
Authors:
hfr_0.7.1.tar.gz
hfr_0.7.1.zip(r-4.7)hfr_0.7.1.zip(r-4.6)hfr_0.7.1.zip(r-4.5)
hfr_0.7.1.tgz(r-4.6-any)hfr_0.7.1.tgz(r-4.5-any)
hfr_0.7.1.tar.gz(r-4.7-any)hfr_0.7.1.tar.gz(r-4.6-any)
hfr_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hfr/json (API)
NEWS
| # Install 'hfr' in R: |
| install.packages('hfr', repos = c('https://jpfitzinger.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jpfitzinger/hfr/issues
hierarchical-clusteringmachine-learningpenalized-regressionregularized-regression
Last updated from:b46df53f4f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 158 | ||
| source / vignettes | OK | 193 | ||
| linux-release-x86_64 | OK | 128 | ||
| macos-release-arm64 | OK | 155 | ||
| macos-oldrel-arm64 | OK | 154 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 103 |
Dependencies:clicorpcorcpp11dendextendfarverggplot2gluegridExtragtableisobandlabelinglifecyclemagrittrquadprogR6RColorBrewerrlangS7scalesvctrsviridisviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross validation for a hierarchical feature regression | cv.hfr |
| Fit a hierarchical feature regression | hfr |
| Plot the dendrogram of an HFR model | plot.cv.hfr |
| Plot the dendrogram of an HFR model | plot.hfr |
| Model predictions | predict.cv.hfr |
| Model predictions | predict.hfr |
| Print an HFR model | print.cv.hfr |
| Print an HFR model | print.hfr |
| Calculate approximate standard errors for a fitted HFR model | se.avg |
