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RPIV: Residual Prediction Test for Well-Specification of InstrumentalVariable Models

A test for the well-specification of the linear instrumental variable model. The test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "A residual prediction test for the well-specification of linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.

Version:1.0.0
Imports:ranger, stats
Suggests:testthat (≥ 3.0.0)
Published:2025-10-19
DOI:10.32614/CRAN.package.RPIV
Author:Cyrill ScheideggerORCID iD [aut, cre, cph]
Maintainer:Cyrill Scheidegger <cyrill.scheidegger at stat.math.ethz.ch>
License:GPL (≥ 3)
URL:https://github.com/cyrillsch/RPIV
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:RPIV results

Documentation:

Reference manual:RPIV.html ,RPIV.pdf

Downloads:

Package source: RPIV_1.0.0.tar.gz
Windows binaries: r-devel:RPIV_1.0.0.zip, r-release:RPIV_1.0.0.zip, r-oldrel:RPIV_1.0.0.zip
macOS binaries: r-release (arm64):RPIV_1.0.0.tgz, r-oldrel (arm64):RPIV_1.0.0.tgz, r-release (x86_64):RPIV_1.0.0.tgz, r-oldrel (x86_64):RPIV_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RPIVto link to this page.


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