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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 "inferMM" in publications use:'
type: software
license: GPL-3.0-only
title: 'inferMM: Variance-Aware Michaelis-Menten Estimation and Inference'
version: 0.0.3
identifiers:
- type: doi
  value: 10.32614/CRAN.package.inferMM
abstract: Variance-aware Michaelis-Menten estimation, model screening, grouped enzyme-kinetic
  analyses, and clustered repeated-measurement workflows. The package implements profile-score
  estimators under working variance functions, together with a lightweight cluster-aware
  working-covariance extension, Wald and bootstrap confidence intervals, prediction
  utilities, and simulation helpers. Related methodology is discussed by Kim and Ma
  (2012) <https://doi.org/10.1007/s10463-011-0332-y>, Kim (2023) <https://doi.org/10.1002/sta4.606>,
  and Ma and Genton (2010) <https://doi.org/10.1111/j.1467-9868.2010.00741.x>.
authors:
- family-names: Kim
  given-names: Mijeong
  email: m.kim@ewha.ac.kr
- family-names: Cha
  given-names: Minkyoung
- family-names: Jeong
  given-names: Ah Young
preferred-citation:
  type: manual
  title: 'inferMM: Variance-Aware Michaelis-Menten Estimation and Inference'
  authors:
  - family-names: Kim
    given-names: Mijeong
    email: m.kim@ewha.ac.kr
  - family-names: Cha
    given-names: Minkyoung
  - family-names: Jeong
    given-names: Ah Young
  year: '2026'
  notes: R package version 0.0.3
repository: https://mijeong-kim.r-universe.dev
commit: c5b9905f05490b96cbcf019d1b4f2ef64b749571
date-released: '2026-06-04'
contact:
- family-names: Kim
  given-names: Mijeong
  email: m.kim@ewha.ac.kr