Provides tools to conduct interpretable sensitivity analyses for weighted estimators, introduced in Huang (2024) <doi:10.1093/jrsssa/qnae012> and Hartman and Huang (2024) <doi:10.1017/pan.2023.12>. The package allows researchers to generate the set of recommended sensitivity summaries to evaluate the sensitivity in their underlying weighting estimators to omitted moderators or confounders. The tools can be flexibly applied in causal inference settings (i.e., in external and internal validity contexts) or survey contexts.
Version: | 0.0.1 |
Depends: | R (≥ 4.1.0) |
Imports: | dplyr, estimatr, ggplot2, ggrepel, kableExtra, metR, rlang, survey, WeightIt |
Suggests: | knitr, pkgload, rmarkdown |
Published: | 2025-08-22 |
DOI: | 10.32614/CRAN.package.senseweight |
Author: | Melody Huang [aut, cre] |
Maintainer: | Melody Huang <melody.huang at yale.edu> |
License: | MIT + file LICENSE |
URL: | https://melodyyhuang.github.io/senseweight/ |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | senseweight results |
Reference manual: | senseweight.html , senseweight.pdf |
Vignettes: |
external-validity (source, R code) survey (source, R code) |
Package source: | senseweight_0.0.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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