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-4.5)hfr_0.7.1.zip(r-4.4)hfr_0.7.1.zip(r-4.3)
hfr_0.7.1.tgz(r-4.4-any)hfr_0.7.1.tgz(r-4.3-any)
hfr_0.7.1.tar.gz(r-4.5-noble)hfr_0.7.1.tar.gz(r-4.4-noble)
hfr_0.7.1.tgz(r-4.4-emscripten)hfr_0.7.1.tgz(r-4.3-emscripten)
hfr.pdf |hfr.html✨
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 9 months agofrom:b46df53f4f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | OK | Nov 23 2024 |
| R-4.4-mac | OK | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Dependencies:clicolorspacecorpcordendextendfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigquadprogR6RColorBrewerrlangscalestibbleutf8vctrsviridisviridisLitewithr
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 |
