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Dossier methods

Fairness of risk tools, trace evidence, aoristic time, Benford screens, glass grouping and transfer, constant reporters, sensitivity bounds, trajectory models, lowess, tool marks, grid Gi* and the point pattern test.

Function What it computes Command line and bindings
fair() Fairness metrics of a binary risk tool by group
tlvc() Two-level model for multivariate trace evidence
aorwt() Aoristic weights
bdig() Benford digit screens
skp() Scott-Knott grouping of measurements
rptc() Constant reporters of a reporting panel
rswp() Rosenbaum sensitivity bounds for matched pairs
zgll() Group-based trajectory model for counts
mvtll() Group-based multivariate trajectories
tfrp() Glass fragments recovered under transfer and persistence
lwss() Lowess smoothing
chmb() The Chumbley score for two tool-mark profiles
gstr() Local Getis-Ord Gi* on a grid of counts
sptst() Andresen’s spatial point pattern test

Each name links to its R help page, which gives the method, its source and a worked example. The other languages use the same names and the same arguments.