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crosswalk() reports the point and inference Robustness
Values, the conditional ITCV and the RIR percentage computed from the
focal |t| and residual degrees of freedom, states that their agreement
is largely fixed by that shared input, and flags the boundary band in
which ITCV and RIR are positive while the inference Robustness Value is
still zero. Methods for lm fits, sens_results
objects and a bare t statistic.run_sensitivity() attaches the crosswalk to
sens_results objects built from lm fits;
print() and generate_report() display it.compute_cfi(),
compute_cfi_weighted(),
compute_cfi_benchmarked(), compare_cfi(),
print_cfi()) is deprecated and will be removed in a future
release. Under OLS, most of its components are functions of the same |t|
and degrees of freedom, so the composite counted the same test
information several times. flag_fragility() no longer
computes it automatically.sens_report() is renamed
fragility_report() so that it no longer masks
confoundvis::sens_report() when both packages are
attached.run_sensitivity() now passes
nobs(model) and the number of model-matrix columns, so the
residual degrees of freedom match the fitted model when factors or
missing values are present.run_sensitivity() – unified dispatch to sensemakr,
EValue, konfound.flag_fragility() – five-level fragility classification,
auto-computes CFI.compute_cfi() / print_cfi() – CFI scoring
and display.interpret_sensitivity() – concise template-based
narrative interpretation.generate_report() – structured markdown/text report
with CFI section.visualize_sensitivity() – sensitivity plot
integration.sens_results S3 class for unified output across all
functions.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.