Package: leakyIV 0.0.1

leakyIV: Leaky Instrumental Variables

Instrumental variables (IVs) are a popular and powerful tool for estimating causal effects in the presence of unobserved confounding. However, classical methods rely on strong assumptions such as the exclusion criterion, which states that instrumental effects must be entirely mediated by treatments. In the so-called "leaky" IV setting, candidate instruments are allowed to have some direct influence on outcomes, rendering the average treatment effect (ATE) unidentifiable. But with limits on the amount of information leakage, we may still recover sharp bounds on the ATE, providing partial identification. This package implements methods for ATE bounding in the leaky IV setting with linear structural equations. For details, see Watson et al. (2024) <doi:10.48550/arXiv.2404.04446>.

Authors:David S. Watson [aut, cre, cph]

leakyIV_0.0.1.tar.gz
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leakyIV.pdf |leakyIV.html
leakyIV/json (API)

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

Peer review:

Bug tracker:https://github.com/dswatson/leakyiv/issues

On CRAN:

4.11 score 1 stars 1 scripts 176 downloads 2 exports 12 dependencies

Last updated 6 months agofrom:bfab1c0e42. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:exclusion_testleakyIV

Dependencies:BHcodetoolscorpcordata.tableforeachglassoiteratorslatticeMatrixmvnfastRcppRcppArmadillo