Package: brtobit
Title: Bias-Reduced Tobit Regression
Version: 0.1-2
Date: 2024-05-12
Authors@R: c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")),
             person(given = "Ioannis", family = "Kosmidis", role = "aut", email = "ioannis.kosmidis@warwick.ac.uk", comment = c(ORCID = "0000-0003-1556-0302")),
             person(given = "Susanne", family = "Koell", role = "aut", email = "susanne.berger114@gmail.com"),
	     person(given = "Christian", family = "Kleiber", role = "ctb", email = "Christian.Kleiber@unibas.ch", comment = c(ORCID = "0000-0002-6781-4733")))
Depends: R (>= 3.6.0)
Imports: stats, crch, sandwich
Suggests: distributions3, memisc
Description: Tobit models are regression models with a Gaussian
        response variable left-censored at zero, constant latent
        variance, and a latent mean that depends on covariates through
        a linear predictor. As an alternative to plain maximum
        likelihood estimation, the adjusted score equations of Kosmidis
        and Firth (2010) <doi:10.1214/10-ejs579> are utilized to obtain
        bias-reduced estimates of the model parameters.
License: GPL-2 | GPL-3
Repository: https://zeileis.r-universe.dev
Date/Publication: 2025-09-26 18:37:17 UTC
RemoteUrl: https://github.com/r-forge/topmodels
RemoteRef: HEAD
RemoteSha: 0325f4bb389eba1a8187fd791ea0f039c6116468
RemoteSubdir: pkg/brtobit
NeedsCompilation: no
Packaged: 2026-05-29 10:30:28 UTC; root
Author: Achim Zeileis [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-0918-3766>),
  Ioannis Kosmidis [aut] (ORCID: <https://orcid.org/0000-0003-1556-0302>),
  Susanne Koell [aut],
  Christian Kleiber [ctb] (ORCID:
    <https://orcid.org/0000-0002-6781-4733>)
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>