Package: iv.sensemakr 0.1.0.9000

iv.sensemakr: Sensitivity Analysis Tools for Instrumental Variable Estimates

Implements a suite of sensitivity analysis tools for instrumental variable estimates as described in Cinelli and Hazlett (2025) <doi:10.1093/biomet/asaf004>.

Authors:Carlos Cinelli [aut, cre, cph], Chad Hazlett [aut, cph]

iv.sensemakr_0.1.0.9000.tar.gz
iv.sensemakr_0.1.0.9000.zip(r-4.7)iv.sensemakr_0.1.0.9000.zip(r-4.6)iv.sensemakr_0.1.0.9000.zip(r-4.5)
iv.sensemakr_0.1.0.9000.tgz(r-4.6-any)iv.sensemakr_0.1.0.9000.tgz(r-4.5-any)
iv.sensemakr_0.1.0.9000.tar.gz(r-4.7-any)iv.sensemakr_0.1.0.9000.tar.gz(r-4.6-any)
iv.sensemakr_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iv.sensemakr/json (API)
NEWS

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

Bug tracker:https://github.com/carloscinelli/iv.sensemakr/issues

Pkgdown/docs site:https://carloscinelli.com

Datasets:
  • card - National Longitudinal Survey of Young Men

On CRAN:

Conda:

5.08 score 6 stars 9 scripts 135 downloads 9 exports 1 dependencies

Last updated from:4d8890874c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK165
linux-release-x86_64OK115
macos-release-arm64OK99
macos-oldrel-arm64OK116
windows-develOK104
windows-releaseOK85
windows-oldrelOK79
wasm-releaseOK94

Exports:extreme_robustness_valueiv_fitovb_contour_plotovb_minimal_reportingrobustness_valuervsensemakrsensitivity_statsxrv

Dependencies:sensemakr

Sensitivity Analysis for Instrumental Variables using iv.sensemakr

Carlos Cinelli and Chad Hazlett

Rendered fromiv.sensemakr.Rmdusingknitr::rmarkdownon Jun 05 2026.

Last update: 2026-02-09
Started: 2026-02-08