erfe: Fits Expectile Regression for Panel Fixed Effect Model

Fits the Expectile Regression for Fixed Effect (ERFE) estimator. The ERFE model extends the within-transformation strategy to solve the incidental parameter problem within the expectile regression framework. The ERFE model estimates the regressor effects on the expectiles of the response distribution. The ERFE estimate corresponds to the classical fixed-effect within-estimator when the asymmetric point is 0.5. The paper by Barry, Oualkacha, and Charpentier (2021, <doi:10.48550/arXiv.2108.04737>) gives more details about the ERFE model.

Version: 0.0.1
Depends: R (≥ 2.10)
Imports: Matrix, mvtnorm, stats
Suggests: covr, testthat (≥ 3.0.0)
Published: 2022-12-16
Author: Amadou Barry ORCID iD [cre, aut]
Maintainer: Amadou Barry <barryhafia at gmail.com>
BugReports: https://github.com/amadoudiogobarry/erfe/issues
License: GPL-3
URL: https://arxiv.org/abs/2108.04737
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: erfe results

Documentation:

Reference manual: erfe.pdf

Downloads:

Package source: erfe_0.0.1.tar.gz
Windows binaries: r-devel: erfe_0.0.1.zip, r-release: erfe_0.0.1.zip, r-oldrel: erfe_0.0.1.zip
macOS binaries: r-release (arm64): erfe_0.0.1.tgz, r-oldrel (arm64): erfe_0.0.1.tgz, r-release (x86_64): erfe_0.0.1.tgz

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