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
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

On CRAN:

Conda:

hierarchical-clusteringmachine-learningpenalized-regressionregularized-regression

2.70 score 1 stars 1 scripts 240 downloads 3 exports 23 dependencies

Last updated from:b46df53f4f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK193
linux-release-x86_64OK128
macos-release-arm64OK155
macos-oldrel-arm64OK154
windows-develOK104
windows-releaseOK77
windows-oldrelOK80
wasm-releaseOK103

Exports:cv.hfrhfrse.avg

Dependencies:clicorpcorcpp11dendextendfarverggplot2gluegridExtragtableisobandlabelinglifecyclemagrittrquadprogR6RColorBrewerrlangS7scalesvctrsviridisviridisLitewithr