iPEB 0.1.1
- Addressed CRAN reviewer feedback on the initial submission: removed
the single quotes around the acronym PEB in the Description (quotes are
reserved for package, software, and API names), and changed the
run_app() example from \dontrun{} to
if (interactive()) { ... }.
iPEB 0.1.0
- First release.
ipeb() and ipeb_run() accept an optional
seed argument that fixes the internal validation split,
making a fit exactly reproducible.ipeb() fits the improved Parametric Empirical Bayes
model on training data: a time-gap-aware standardization layer (random
intercept, optional random slope, optional AR(1)/OU residual
autocorrelation), optional covariate adjustment, objective-driven
weighting (sensitivity, lead-time, or combined objective), optional
feature selection, and an automatically chosen scalar or multivariate
combiner.predict() scores new subjects, and
evaluate() reports per-patient sensitivity and lead time
with per-visit specificity at user-chosen operating points.ipeb_run() provides a one-call fit-and-evaluate
wrapper.ipeb_innovations() exposes the time-gap-aware
standardization layer, so history-adjusted baselines can be built from
the same layer as iPEB.print(), summary(), and
plot() methods for fitted ipeb objects.- Ships a small synthetic longitudinal example dataset,
ipeb_example.