Package: robust2sls
Type: Package
Title: Outlier Robust Two-Stage Least Squares Inference and Testing
Version: 0.2.3
Authors@R: person("Jonas", "Kurle", email = "mail@jonaskurle.com", 
                  role = c("aut","cre"), comment = c(ORCID = "0000-0003-2197-2012"))
Description: An implementation of easy tools for outlier robust inference in
    two-stage least squares (2SLS) models. The user specifies a reference 
    distribution against which observations are classified as outliers or not. 
    After removing the outliers, adjusted standard errors are automatically 
    provided. Furthermore, several statistical tests for the false outlier 
    detection rate can be calculated. The outlier removing algorithm can be 
    iterated a fixed number of times or until the procedure converges. The 
    algorithms and robust inference are described in more detail in Jiao (2019) 
    <https://drive.google.com/file/d/1qPxDJnLlzLqdk94X9wwVASptf1MPpI2w/view>.
URL: https://github.com/jkurle/robust2sls
BugReports: https://github.com/jkurle/robust2sls/issues
License: GPL-3
Encoding: UTF-8
Suggests: covr, datasets, doFuture, doParallel, doRNG, future, ggplot2,
        grDevices, ivgets, knitr, parallel, rmarkdown, testthat, utils
RoxygenNote: 7.3.2
Config/testthat/edition: 3
Imports: exactci, foreach, ivreg, MASS, mathjaxr, pracma, stats
VignetteBuilder: knitr
Depends: R (>= 2.10)
RdMacros: mathjaxr
NeedsCompilation: no
Packaged: 2026-04-02 13:38:55 UTC; hornik
Author: Jonas Kurle [aut, cre] (ORCID: <https://orcid.org/0000-0003-2197-2012>)
Maintainer: Jonas Kurle <mail@jonaskurle.com>
Repository: CRAN
Date/Publication: 2026-04-02 15:48:54
Built: R 4.6.0; ; 2026-04-25 14:05:45 UTC; unix
