rstudio.prefs vs traumar

traumar computes trauma-centre performance measures from registry data, including relative mortality metrics, SEQIC quality indicators and predicted survival probability. The recent releases are dominated by correctness rather than coverage: 1.2.5 changed how the denominator for SEQIC indicator 7 is derived so it reflects the definitive care population rather than a raw row count, and 1.2.3 realigned probability_of_survival() with published coefficients. Version 1.2.6 completes a deprecation, turning the old n_decimal argument into an error.

This is a package whose outputs are reported numbers, and it is behaving accordingly: the notable changes in this window alter results rather than add features. A denominator computed as a row count instead of a filtered population, and a survival calculation not matching the coefficients it cites, are both the kind of defect that quietly propagates into published figures, and both were corrected here. Around that sit in-house validation helpers written deliberately to avoid a new dependency, and a steady tidy-up of tests and tooling.

Expect the validation family introduced in 1.2.4 to be applied more widely across the package's entry points, now that it exists and is deliberately kept internal. Further SEQIC indicators being reviewed against their definitions looks likely given indicator 7 needed it, though the entries name no specific one as next.