Package: ovbsa 2.1.0

ovbsa: Sensitivity Analysis of Omitted Variable Bias

Conduct sensitivity analysis of omitted variable bias in linear econometric models using the methodology presented in Basu (2025) <doi:10.2139/ssrn.4704246>.

Authors:Deepankar Basu [aut, cre, cph]

ovbsa_2.1.0.tar.gz
ovbsa_2.1.0.zip(r-4.7-any)ovbsa_2.1.0.zip(r-4.6-any)ovbsa_2.1.0.zip(r-4.5-any)
ovbsa_2.1.0.tgz(r-4.6-any)ovbsa_2.1.0.tgz(r-4.5-any)
ovbsa_2.1.0.tar.gz(r-4.7-any)ovbsa_2.1.0.tar.gz(r-4.6-any)
ovbsa_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ovbsa/json (API)

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

Bug tracker:https://github.com/dbasu-umass/ovbsa/issues

On CRAN:

Conda:

3.30 score 315 downloads 11 exports 33 dependencies

Last updated from:cc19a87cb1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK134
source / vignettesOK219
linux-releaseOK157
macos-releaseOK104
macos-oldrelOK102
windows-develOK80
windows-releaseOK81
windows-oldrelOK84
wasm-releaseOK109

Exports:bacibsaldtruncexpdtruncgammakdkyrngpr2ncdkdkyrngtr2linvxpr2ncdbiassalpr2ncdsaltr2tr2bias

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletictoctidyrtidyselectutf8vctrsviridisLitewithrzoo