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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>.

Version: 0.7.1
Imports: quadprog, stats, dendextend, RColorBrewer, corpcor
Suggests: MASS, testthat (≥ 3.0.0)
Published: 2024-02-27
DOI: 10.32614/CRAN.package.hfr
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger at gmail.com>
License: GPL-2
URL: https://hfr.residualmetrics.com, https://github.com/jpfitzinger/hfr
NeedsCompilation: no
Materials: NEWS
CRAN checks: hfr results

Documentation:

Reference manual: hfr.pdf

Downloads:

Package source: hfr_0.7.1.tar.gz
Windows binaries: r-devel: hfr_0.7.1.zip, r-release: hfr_0.7.1.zip, r-oldrel: hfr_0.7.1.zip
macOS binaries: r-release (arm64): hfr_0.7.1.tgz, r-oldrel (arm64): hfr_0.7.1.tgz, r-release (x86_64): hfr_0.7.1.tgz, r-oldrel (x86_64): hfr_0.7.1.tgz
Old sources: hfr archive

Reverse dependencies:

Reverse suggests: tidyfit

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hfr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.