Package: rinet
Type: Package
Title: Clinical Reference Interval Estimation with Reference Interval
        Network (RINet)
Version: 0.2.0
Authors@R: person("Jack LeBien", "", email = "jlebien@abartyshealth.com", role = c("aut", "cre"))
Description: Predicts statistics of a reference distribution from a mixture of raw clinical measurements (healthy and pathological). Uses pretrained CNN models to estimate the mean, standard deviation, and reference fraction from 1D or 2D sample data. Methods are described in LeBien, Velev, and Roche-Lima (2026) "RINet: synthetic data training for indirect estimation of clinical reference distributions" <doi:10.1016/j.jbi.2026.104980>.
License: MIT + file LICENSE
URL: https://github.com/jackgle/rinet_r_package
BugReports: https://github.com/jackgle/rinet_r_package/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: torch, stats
Config/roxygen2/version: 8.1.1
NeedsCompilation: no
Packaged: 2026-10-20 04:14:46 UTC; jack
Author: Jack LeBien [aut, cre]
Maintainer: Jack LeBien <jlebien@abartyshealth.com>
Repository: CRAN
Date/Publication: 2026-10-20 13:20:08 UTC
