Visualization Tools for Sensitivity Analysis of Unmeasured Confounding

---

Documentation for package ‘confoundvis’ version 0.2.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

as.data.frame.confoundsens	Coerce a confoundsens object to a data frame
as_confoundsens	Convert a data frame to a confoundsens object
as_confoundsens.data.frame	Convert a data frame to a confoundsens object
as_confoundsens.default	Convert a data frame to a confoundsens object
as_confoundsens.lm	Convert a data frame to a confoundsens object
as_confoundsens.sensemakr	Convert a data frame to a confoundsens object
covariate_impacts	Benchmark observed covariates against a sensitivity threshold
fit_local_quadratic	Fit a local quadratic approximation
from_evalue	Convert an E-value result to a confoundsens path
from_konfound	Convert konfound output to a confoundsens path
from_sensemakr	Convert a sensemakr result to a confoundsens path
itcv_lm	Impact threshold for a confounding variable from a fitted linear model
new_confoundsens	Create a confoundsens object
plot_cone_comparison	Compare reversal cones across multilevel components
plot_figure2_taylor_panels	Three-panel Taylor approximation illustration
plot_local_taylor	Local Taylor diagnostic plot
plot_reversal_cone	Reversal cone geometry plot
plot_robustness_curve	Plot a robustness curve
plot_sensitivity_contour	Sensitivity contour plot
plot_sensitivity_love	Sensitivity Love plot
plot_taylor_panels	Three-panel Taylor approximation illustration
print.confoundsens	Print method for confoundsens objects
robustness_points	Locate robustness thresholds along a sensitivity path
sens_path_lm	Sensitivity path from a fitted linear model (partial R-squared framework)
sens_report	Plain-language sensitivity report
simulate_taylor_demo	Simulate demo confounding paths for Taylor panel figures
summary.confoundsens	Summary method for confoundsens objects