Sensitivity Summary Measures | Robustness value | Benchmarking | Bias Contour Plot
Package: senseweight 0.0.1
Melody Huang
senseweight: Sensitivity Analysis for Weighted Estimators
Provides tools to conduct rigorous sensitivity analyses for weighted estimators, introduced in Huang (2024) <doi:10.1093/jrsssa/qnae012> and Hartman and Huang (2024) <doi:10.1017>. 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.
Authors:
senseweight_0.0.1.tar.gz
senseweight_0.0.1.zip(r-4.7)senseweight_0.0.1.zip(r-4.6)senseweight_0.0.1.zip(r-4.5)
senseweight_0.0.1.tgz(r-4.6-any)senseweight_0.0.1.tgz(r-4.5-any)
senseweight_0.0.1.tar.gz(r-4.7-any)senseweight_0.0.1.tar.gz(r-4.6-any)
senseweight_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
senseweight/json (API)
| # Install 'senseweight' in R: |
| install.packages('senseweight', repos = c('https://melodyyhuang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/melodyyhuang/senseweight/issues
Pkgdown/docs site:https://melodyyhuang.github.io
Datasets:
- jtpa_women - National Jobs Training Partnership Act (JTPA) Experimental Data
- poll.data - Synthetic Polling Data
Last updated from:c10676b17f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 149 | ||
| source / vignettes | OK | 239 | ||
| linux-release-x86_64 | OK | 147 | ||
| macos-release-arm64 | OK | 165 | ||
| macos-oldrel-arm64 | OK | 166 | ||
| windows-devel | OK | 106 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 109 | ||
| wasm-release | OK | 136 |
Exports:benchmark_surveycontour_plotcreate_targetsestimate_biasrobustness_valuerun_benchmarkingsummarize_sensitivitysummarize_sensitivity_survey
Dependencies:argbackportsbase64encbslibcachemcheckmateclassclassIntclicobaltcpp11data.tableDBIdigestdplyre1071estimatrevaluatefarverfastmapfontawesomeFormulaformula.toolsfsgenericsggplot2ggrepelgluegridExtragtablehighrhtmltoolsisobandjquerylibjsonlitekableExtraKernSmoothknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemetRmimeminqamitoolsnumDerivoperator.toolspillarpkgconfigplyrproxypurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrlangrmarkdownrstudioapis2S7sandwichsassscalessfstringistringrsurveysurvivalsvglitesystemfontstextshapingtibbletidyselecttimechangetinytexunitsutf8vctrsviridisLiteWeightItwithrwkxfunxml2yamlzoo
Sensitivity analysis for external validity
Last update: 2025-08-15
Started: 2025-08-14
Sensitivity analysis for survey weights
Setting up survey objects | Summarizing sensitivity | Robustness Value | Benchmarking | Bias contour plot
Last update: 2025-08-15
Started: 2025-08-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Benchmark (for survey weights) | benchmark_survey |
| Bias Contour Plots | contour_plot |
| Helper function for creating targets from auxiliary information and formula | create_targets |
| Estimate Bias | estimate_bias |
| National Jobs Training Partnership Act (JTPA) Experimental Data | jtpa_women |
| Synthetic Polling Data | poll.data |
| Robustness Value | robustness_value |
| Run Formal Benchmarking | run_benchmarking |
| Sensitivity Summary | summarize_sensitivity |
| Sensitivity Summary (for survey weights) | summarize_sensitivity_survey |