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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rinet" in publications use:'
type: software
license: MIT
title: 'rinet: Clinical Reference Interval Estimation with Reference Interval Network
  (RINet)'
version: 0.1.1
doi: 10.32614/CRAN.package.rinet
abstract: '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" <https://doi.org/10.1016/j.jbi.2026.104980>.'
authors:
- name: Jack LeBien
  email: jackgl4124@gmail.com
repository: https://jackgle.r-universe.dev
commit: 560bed5b9cd709fa72968a44a077ad4c2c2e9724
date-released: '2026-02-23'
contact:
- name: Jack LeBien
  email: jackgl4124@gmail.com