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-any)hfr_0.7.1.zip(r-4.6-any)hfr_0.7.1.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
hfr/json (API)

# 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 234 downloads 3 exports 23 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK203
linux-releaseOK122
macos-releaseOK127
macos-oldrelOK163
windows-develOK72
windows-releaseOK68
windows-oldrelOK76
wasm-releaseOK119

Exports:cv.hfrhfrse.avg

Dependencies:clicorpcorcpp11dendextendfarverggplot2gluegridExtragtableisobandlabelinglifecyclemagrittrquadprogR6RColorBrewerrlangS7scalesvctrsviridisviridisLitewithr