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-4.5)hfr_0.7.1.zip(r-4.4)hfr_0.7.1.zip(r-4.3)
hfr_0.7.1.tgz(r-4.4-any)hfr_0.7.1.tgz(r-4.3-any)
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hfr_0.7.1.tgz(r-4.4-emscripten)hfr_0.7.1.tgz(r-4.3-emscripten)
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'))

Peer review:

Bug tracker:https://github.com/jpfitzinger/hfr/issues

On CRAN:

hierarchical-clusteringmachine-learningpenalized-regressionregularized-regression

3.18 score 1 stars 1 scripts 227 downloads 3 exports 33 dependencies

Last updated 8 months agofrom:b46df53f4f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winOKOct 24 2024
R-4.5-linuxOKOct 24 2024
R-4.4-winOKOct 24 2024
R-4.4-macOKOct 24 2024
R-4.3-winOKOct 24 2024
R-4.3-macOKOct 24 2024

Exports:cv.hfrhfrse.avg

Dependencies:clicolorspacecorpcordendextendfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigquadprogR6RColorBrewerrlangscalestibbleutf8vctrsviridisviridisLitewithr