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✨
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

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

On CRAN:

hierarchical-clustering machine-learning penalized-regression regularized-regression

2.70 score 1 stars 1 scripts 276 downloads 3 exports 23 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	121
source / vignettes	OK	203
linux-release-x86_64	OK	125
macos-release-arm64	OK	124
macos-oldrel-arm64	OK	132
windows-devel	OK	85
windows-release	OK	74
windows-oldrel	OK	98
wasm-release	OK	101

Exports:cv.hfr hfr se.avg

Dependencies:cli corpcor cpp11 dendextend farver ggplot2 glue gridExtra gtable isoband labeling lifecycle magrittr quadprog R6 RColorBrewer rlang S7 scales vctrs viridis viridisLite withr

Citation

Development and contributors

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