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iPEB  

Improved Parametric Empirical Bayes for Longitudinal Biomarker Analysis
View on CRAN: Click here


Download and install iPEB package within the R console
Install from CRAN:
install.packages("iPEB")

Install from Github:
library("remotes")
install_github("cran/iPEB")

Install by package version:
library("remotes")
install_version("iPEB", "0.1.1")



Attach the package and use:
library("iPEB")
Maintained by
Bitan Sarkar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-17
Latest Update: 2026-09-17
Description:
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.
How to cite:
Bitan Sarkar (2026). iPEB: Improved Parametric Empirical Bayes for Longitudinal Biomarker Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/iPEB. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for iPEB
Functions, R codes and Examples using the iPEB R package
Full iPEB package functions and examples
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