Package: robust2sls
Type: Package
Title: Outlier Robust Two-Stage Least Squares Inference and Testing
Version: 0.2.4
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, mockery, parallel, parallelly,
        rmarkdown, testthat, utils
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Imports: exactci, foreach, ivreg, MASS, mathjaxr, pracma, stats
VignetteBuilder: knitr
Depends: R (>= 2.10)
RdMacros: mathjaxr
BuildManual: TRUE
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://jkurle.r-universe.dev
Date/Publication: 2026-08-14 12:40:19 UTC
RemoteUrl: https://github.com/jkurle/robust2sls
RemoteRef: HEAD
RemoteSha: ae471066d0f0ec7d2898850ba1ed739558a8a262
NeedsCompilation: no
Packaged: 2026-10-13 10:48:26 UTC; root
Author: Jonas Kurle [aut, cre] (ORCID: <https://orcid.org/0000-0003-2197-2012>)
Maintainer: Jonas Kurle <mail@jonaskurle.com>