Package: fastqrs
Title: Fast Algorithms for Quantile Regression with Selection
Version: 1.0.0
Authors@R: 
    person("Santiago", "Pereda-Fernandez", , "santiagopereda@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0319-1629"))
Description: Fast estimation algorithms to implement the Quantile
        Regression with Selection estimator and the multiplicative
        Bootstrap for inference. This estimator can be used to estimate
        models that feature sample selection and heterogeneous effects
        in cross-sectional data. For more details, see Arellano and
        Bonhomme (2017) <doi:10.3982/ECTA14030> and Pereda-Fernández
        (2024) <doi:10.48550/arXiv.2402.16693>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: quantreg, copula, stats
Suggests: knitr, rmarkdown, sampleSelection, ggplot2
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-19 09:35:51 UTC; root
Author: Santiago Pereda-Fernandez [aut, cre]
        (<https://orcid.org/0000-0002-0319-1629>)
Maintainer: Santiago Pereda-Fernandez <santiagopereda@gmail.com>
Config/pak/sysreqs: libgsl0-dev
Repository: https://santiago-pereda.r-universe.dev
Date/Publication: 2025-04-16 20:10:02 UTC
RemoteUrl: https://github.com/cran/fastqrs
RemoteRef: HEAD
RemoteSha: 99c826936be0b6d14ed6843174e0d7093337a68c