Introduction | Package installation | Application to the NCDS Example: Does Education Attainment Increase Wages? | 1. Data Overview | 2. Balancing covariates by weighting | 3. vbm package---ATT and standard error estimation | 4. vbm package--sensitivity analysis | Variance-based Sensitivity Model | Marginal Sensitivity Model | Comparison among VBM and VBM with More Conservative Bounds | References
Package: vbm 0.1.0
Jiayao Gan
vbm: Variance-Based Sensitivity Analysis for Weighting Estimators
Provides methods for variance-based sensitivity analysis and weighting estimators in observational studies based on methodology by Huang & Pimentel (2025) <doi:10.1093/biomet/asae040>. Includes bootstrap inference, bias bounds estimation, and visualization tools for sensitivity parameters.
Authors:
vbm_0.1.0.tar.gz
vbm_0.1.0.tar.gz(r-4.7-any)vbm_0.1.0.tar.gz(r-4.6-any)
vbm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
vbm/json (API)
| # Install 'vbm' in R: |
| install.packages('vbm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/staniks0/vbm/issues
Datasets:
- ncds - National Child Development Survey (NCDS) Data
- nhanes.clean - NHANES 2013-2014 Mercury and Fish Consumption Data
Last updated from:889ec8d006. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 147 | ||
| source / vignettes | OK | 416 | ||
| linux-release-x86_64 | OK | 184 | ||
| wasm-release | OK | 137 |
Exports:benchmark_lambdabenchmark_R2estimate_confidence_intervalsestimate_point_estimate_boundsplot_sensitivity_analysisrun_sensitivity_analysis
Dependencies:argclicobaltcpp11dplyrestimatrfarverFormulagenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangS7sandwichscalestibbletidyselectutf8vctrsviridisLiteWeightItwithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Benchmark Lambda Values for Marginal Sensitivity Model | benchmark_lambda |
| Benchmark R-squared for Leave-One-Out Covariate Omission | benchmark_R2 |
| Compute Confidence Intervals for Sensitivity Analysis | estimate_confidence_intervals |
| Compute Point Estimate Bounds for Sensitivity Analysis | estimate_point_estimate_bounds |
| National Child Development Survey (NCDS) Data | ncds |
| NHANES 2013-2014 Mercury and Fish Consumption Data | nhanes.clean |
| Plot Sensitivity Analysis Results | plot_sensitivity_analysis |
| Run Sensitivity Analysis for Unmeasured Confounding | run_sensitivity_analysis |
