Package: sensemakr 0.1.6
sensemakr: Sensitivity Analysis Tools for Regression Models
Implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) <doi:10.1111/rssb.12348>.
Authors:
sensemakr_0.1.6.tar.gz
sensemakr_0.1.6.zip(r-4.5)sensemakr_0.1.6.zip(r-4.4)sensemakr_0.1.6.zip(r-4.3)
sensemakr_0.1.6.tgz(r-4.4-any)sensemakr_0.1.6.tgz(r-4.3-any)
sensemakr_0.1.6.tar.gz(r-4.5-noble)sensemakr_0.1.6.tar.gz(r-4.4-noble)
sensemakr_0.1.6.tgz(r-4.4-emscripten)sensemakr_0.1.6.tgz(r-4.3-emscripten)
sensemakr.pdf |sensemakr.html✨
sensemakr/json (API)
| # Install 'sensemakr' in R: |
| install.packages('sensemakr', repos = c('https://carloscinelli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/carloscinelli/sensemakr/issues
Last updated 2 months agofrom:8e4d97982b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:add_bound_to_contouradjusted_ciadjusted_critical_valueadjusted_estimateadjusted_partial_r2adjusted_seadjusted_tbiasextreme_robustness_valuegroup_partial_r2model_helperovb_boundsovb_contour_plotovb_extreme_plotovb_minimal_reportingovb_partial_r2_boundpartial_fpartial_f2partial_r2rel_biasrelative_biasresid_makerrobustness_valuervsensemakrsensitivity_statsxrv
Dependencies:
An introduction to sensitivity analysis using sensemakr
Rendered fromsensemakr.Rmdusingknitr::rmarkdownon Oct 31 2024.Last update: 2020-04-28
Started: 2017-08-23
The Risks of Informal Benchmarking
Rendered frominformal_benchmarking.Rmdusingknitr::rmarkdownon Oct 31 2024.Last update: 2021-07-26
Started: 2020-02-09
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sensemakr: extending omitted variable bias | sensemakr-package |
| Add bounds to contour plot of omitted variable bias | add_bound_to_contour add_bound_to_contour.fixest add_bound_to_contour.lm add_bound_to_contour.numeric |
| Bias-adjusted critical values | adjusted_critical_value |
| Bias-adjusted estimates, standard-errors, t-values and confidence intervals | adjusted_ci adjusted_ci.fixest adjusted_ci.lm adjusted_ci.numeric adjusted_estimate adjusted_estimate.fixest adjusted_estimate.lm adjusted_estimate.numeric adjusted_partial_r2 adjusted_partial_r2.fixest adjusted_partial_r2.lm adjusted_partial_r2.numeric adjusted_se adjusted_se.fixest adjusted_se.lm adjusted_se.numeric adjusted_t adjusted_t.fixest adjusted_t.lm adjusted_t.numeric bias bias.fixest bias.lm bias.numeric relative_bias relative_bias.fixest relative_bias.lm relative_bias.numeric rel_bias |
| Data from the 2016 referendum for peace with the FARC in Colombia. | colombia |
| Data from survey of Darfurian refugees in eastern Chad. | darfur |
| Partial R2 of groups of covariates in a linear regression model | group_partial_r2 group_partial_r2.fixest group_partial_r2.lm group_partial_r2.numeric |
| Bounds on the strength of unobserved confounders using observed covariates | ovb_bounds ovb_bounds.fixest ovb_bounds.lm ovb_partial_r2_bound ovb_partial_r2_bound.fixest ovb_partial_r2_bound.lm ovb_partial_r2_bound.numeric |
| Contour plots of omitted variable bias | ovb_contour_plot ovb_contour_plot.fixest ovb_contour_plot.formula ovb_contour_plot.lm ovb_contour_plot.numeric |
| Extreme scenarios plots of omitted variable bias | ovb_extreme_plot ovb_extreme_plot.fixest ovb_extreme_plot.formula ovb_extreme_plot.lm ovb_extreme_plot.numeric |
| Computes the partial R2 and partial (Cohen's) f2 | partial_f partial_f.fixest partial_f.lm partial_f.numeric partial_f2 partial_f2.fixest partial_f2.lm partial_f2.numeric partial_r2 partial_r2.default partial_r2.fixest partial_r2.lm partial_r2.numeric |
| Sensitivity analysis plots for 'sensemakr' | plot.sensemakr |
| Sensitivity analysis print and summary methods for 'sensemakr' | ovb_minimal_reporting print.sensemakr summary.sensemakr |
| Computes the (extreme) robustness value | extreme_robustness_value extreme_robustness_value.default extreme_robustness_value.fixest extreme_robustness_value.lm extreme_robustness_value.numeric robustness_value robustness_value.default robustness_value.fixest robustness_value.lm robustness_value.numeric rv xrv |
| Sensitivity analysis to unobserved confounders | sensemakr sensemakr.fixest sensemakr.formula sensemakr.lm sensemakr.numeric |
| Sensitivity statistics for regression coefficients | sensitivity_stats sensitivity_stats.fixest sensitivity_stats.lm sensitivity_stats.numeric |
