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:Johann Pfitzinger [aut, cre]

hfr_0.7.1.tar.gz
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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

Pkgdown site:https://hfr.residualmetrics.com

On CRAN:

hierarchical-clusteringmachine-learningpenalized-regressionregularized-regression

3.00 score 1 stars 1 scripts 291 downloads 3 exports 33 dependencies

Last updated 12 months agofrom:b46df53f4f. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-winOKFeb 21 2025
R-4.5-macOKFeb 21 2025
R-4.5-linuxOKFeb 21 2025
R-4.4-winOKFeb 21 2025
R-4.4-macOKFeb 21 2025
R-4.3-winOKFeb 21 2025
R-4.3-macOKFeb 21 2025

Exports:cv.hfrhfrse.avg

Dependencies:clicolorspacecorpcordendextendfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigquadprogR6RColorBrewerrlangscalestibbleutf8vctrsviridisviridisLitewithr