Package: RobustIV 0.3.1

Zijian Guo

RobustIV: Robust Instrumental Variable Methods in Linear Models

Inference for the treatment effect with possibly invalid instrumental variables via TSHT('Guo et al.' (2016) <arxiv:1603.05224>) and SearchingSampling('Guo' (2021) <arxiv:2104.06911>), which are effective for both low- and high-dimensional covariates and instrumental variables; test of endogeneity in high dimensions ('Guo et al.' (2016) <arxiv:1609.06713>).

Authors:Taehyeon Koo [aut], Zhenyu Wang [aut], Hyunseung Kang [ctb], Dylan Small [ctb], Zijian Guo [aut, cre, cph]

RobustIV_0.3.1.tar.gz
RobustIV_0.3.1.zip(r-4.7-any)RobustIV_0.3.1.zip(r-4.6-any)RobustIV_0.3.1.zip(r-4.5-any)
RobustIV_0.3.1.tgz(r-4.6-any)RobustIV_0.3.1.tgz(r-4.5-any)
RobustIV_0.3.1.tar.gz(r-4.7-any)RobustIV_0.3.1.tar.gz(r-4.6-any)
RobustIV_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RobustIV/json (API)

# Install 'RobustIV' in R:
install.packages('RobustIV', repos = c('https://zijguo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zijguo/robustiv/issues

Datasets:

On CRAN:

Conda:

3.90 score 4 stars 6 scripts 370 downloads 3 exports 31 dependencies

Last updated from:f79248fcf0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK135
source / vignettesOK161
linux-releaseOK139
macos-releaseOK252
macos-oldrelOK179
windows-develOK89
windows-releaseOK94
windows-oldrelOK82
wasm-releaseOK104

Exports:endo.testSearchingSamplingTSHT

Dependencies:backportscheckmateclarabelclicodetoolscpp11CVXRforeachglmnetgluegmphighsigraphintervalsiteratorslatticelifecyclemagrittrMASSMatrixosqppkgconfigRcppRcppEigenrlangS7scsshapeslamsurvivalvctrs