CRAN/E | alqrfe

alqrfe

Adaptive Lasso Quantile Regression with Fixed Effects

Installation

About

Quantile regression with fixed effects solves longitudinal data, considering the individual intercepts as fixed effects. The parametric set of this type of problem used to be huge. Thus penalized methods such as Lasso are currently applied. Adaptive Lasso presents oracle proprieties, which include Gaussianity and correct model selection. Bayesian information criteria (BIC) estimates the optimal tuning parameter lambda. Plot tools are also available.

Key Metrics

Version 1.1
Published 2022-11-30 512 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks alqrfe results

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Maintainer

Maintainer

Ian Meneghel Danilevicz

iandanilevicz@gmail.com

Authors

Ian Meneghel Danilevicz

aut / cre

Pascal Bondon

aut

Valderio A. Reisen

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

alqrfe archive

Imports

Rcpp ≥ 1.0.5
MASS ≥ 7.3-49

LinkingTo

Rcpp
RcppArmadillo