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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "iPEB" in publications use:'
type: software
license: MIT
title: 'iPEB: Improved Parametric Empirical Bayes for Longitudinal Biomarker Analysis'
version: 0.1.1
doi: 10.32614/CRAN.package.iPEB
abstract: Extends parametric empirical Bayes (PEB) for longitudinal biomarker screening
  with a time-gap-aware standardization layer, covariate adjustment, and objective-driven
  multi-marker weighting. The layer models each subject's biomarker history with a
  random intercept (and an optional random slope) and autocorrelated, gap-scaled residuals,
  so that prediction uncertainty grows with the time between visits and per-visit
  specificity is preserved under irregular sampling. Marker weights are learned to
  optimize a user-selected clinical objective -- maximizing sensitivity at a fixed
  specificity, extending detection lead time, or a combined objective -- with optional
  feature selection and a choice of scalar or multivariate combiner. Functions for
  fitting, prediction, and evaluation (sensitivity, lead time, and specificity at
  chosen operating points) are provided. A manuscript describing the method is in
  preparation.
authors:
- family-names: Sarkar
  given-names: Bitan
  email: bitansarkar010899@gmail.com
  orcid: https://orcid.org/0009-0000-5178-5934
- family-names: Kenney
  given-names: Ana Maria
- family-names: Long
  given-names: James P.
- family-names: Fahrmann
  given-names: Johannes F.
- family-names: Hanash
  given-names: Samir
- family-names: Do
  given-names: Kim-Anh
- family-names: Irajizad
  given-names: Ehsan
repository: https://bitansa.r-universe.dev
repository-code: https://github.com/bitansa/iPEB
commit: e5364ec3418582e0c103f546b7b77eb6b7c7a2b0
url: https://github.com/bitansa/iPEB
date-released: '2026-09-24'
contact:
- family-names: Sarkar
  given-names: Bitan
  email: bitansarkar010899@gmail.com
  orcid: https://orcid.org/0009-0000-5178-5934