causalfrag 0.2.0

New

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.

The Causal Fragility Index (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.

The konfound call in 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.

Initial CRAN submission.
Introduces the Causal Fragility Index (CFI): a 0-100 composite score integrating sensitivity evidence across frameworks.
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.