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# CITATION.cff 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: 0.1.1
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 built-in or user-defined fixed working variance functions for single
  curves, optional higher-moment estimating equations for independent observations
  with asymmetric errors, and a lightweight cluster-aware working-covariance extension
  with optional conditional projected scores for an unspecified random-effect density,
  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 0.1.1
repository: https://cran.r-universe.dev
commit: bcb205aa4aebbcf31f2dae18fce3e4a0e6ffec80
date-released: '2026-10-30'
contact:
- family-names: Kim
  given-names: Mijeong
  email: m.kim@ewha.ac.kr