Package: alqrfe
Type: Package
Title: Adaptive Lasso Quantile Regression with Fixed Effects
Version: 1.1
Date: 2022-11-30
Authors@R: c(person(family = "Danilevicz", given = "Ian Meneghel", email = "iandanilevicz@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4541-0524")),person(family = "Bondon", given = "Pascal", email = "pascal.bondon@centralesupelec.fr", role = c("aut")),person(family = "Reisen", given = "Valderio A.", email = "valderioanselmoreisen@gmail.com", role = c("aut")))
Description: 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.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5), MASS (>= 7.3-49)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-11-30 20:16:22 UTC; ian
Author: Ian Meneghel Danilevicz [aut, cre]
    (<https://orcid.org/0000-0003-4541-0524>),
  Pascal Bondon [aut],
  Valderio A. Reisen [aut]
Maintainer: Ian Meneghel Danilevicz <iandanilevicz@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-30 21:00:02 UTC