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hfr  

Estimate Hierarchical Feature Regression Models
View on CRAN: Click here


Download and install hfr package within the R console
Install from CRAN:
install.packages("hfr")

Install from Github:
library("remotes")
install_github("cran/hfr")

Install by package version:
library("remotes")
install_version("hfr", "0.7.1")



Attach the package and use:
library("hfr")
Maintained by
Johann Pfitzinger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-05
Latest Update: 2023-01-21
Description:
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). .
How to cite:
Johann Pfitzinger (2022). hfr: Estimate Hierarchical Feature Regression Models. R package version 0.7.1, https://cran.r-project.org/web/packages/hfr. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.5.0 (2022-01-05 10:20), 0.6.0 (2022-08-13 10:30), 0.6.1 (2023-01-21 11:30), 0.6.2 (2023-12-21 08:40), 0.7.0 (2024-02-24 09:20)
Other packages that cited hfr R package
View hfr citation profile
Other R packages that hfr depends, imports, suggests or enhances
Complete documentation for hfr
Functions, R codes and Examples using the hfr R package
Some associated functions: cv.hfr . hfr . plot.cv.hfr . plot.hfr . predict.cv.hfr . predict.hfr . print.cv.hfr . print.hfr . se.avg . 
Some associated R codes: cv.hfr.R . hfr.R . internal.R . plot.cv.hfr.R . plot.hfr.R . predict.cv.hfr.R . predict.hfr.R . print.cv.hfr.R . print.hfr.R . se.avg.R .  Full hfr package functions and examples
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