| 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 |
| 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_robustness_curve | Plot a robustness curve |
| plot_sensitivity_contour | Sensitivity contour plot |
| plot_sensitivity_love | Sensitivity Love plot |
| plot_sensitivity_surface | Plot a two-parameter sensitivity surface |
| print.confoundsens | Print method for confoundsens objects |
| rir_lm | Robustness of inference to replacement (RIR) from a linear model |
| robustness_points | Locate robustness thresholds along a sensitivity path |
| sens_path_lm | Sensitivity path from a fitted linear model (partial R-squared framework) |
| sens_path_pairs | Rosenbaum sensitivity path for matched pairs |
| sens_report | Plain-language sensitivity report |
| sens_surface | Two-parameter sensitivity surface |
| sens_table | Summarize several sensitivity paths in one table |
| summary.confoundsens | Summary method for confoundsens objects |