Package: ivreg
Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM',
        with Diagnostics
Version: 0.6-1
Authors@R: c(person(given = "John", family = "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca", comment = c(ORCID = "0000-0002-1196-8012")),
             person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch", comment = c(ORCID = "0000-0002-6781-4733")),
             person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")),
             person(given = "Nikolas", family = "Kuschnig", role = "ctb", email = "nikolas.kuschnig@wu.ac.at", comment = c(ORCID = "0000-0002-6642-2543")))
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
License: GPL (>= 2)
Depends: R (>= 3.6.0)
Imports: car (>= 3.0-9), Formula, lmtest, MASS, stats
Suggests: AER, effects (>= 4.2.0), knitr, insight, parallel, rmarkdown,
        sandwich, testthat, modelsummary, ggplot2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/john-d-fox/ivreg/issues/
URL: https://john-d-fox.github.io/ivreg/
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2021-10-14 20:44:46 UTC; johnfox
Author: John Fox [aut, cre] (<https://orcid.org/0000-0002-1196-8012>),
  Christian Kleiber [aut] (<https://orcid.org/0000-0002-6781-4733>),
  Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>),
  Nikolas Kuschnig [ctb] (<https://orcid.org/0000-0002-6642-2543>)
Maintainer: John Fox <jfox@mcmaster.ca>
Repository: CRAN
Date/Publication: 2021-10-15 09:10:05 UTC
Built: R 4.0.5; ; 2022-04-18 09:46:22 UTC; windows
