Package: inferMM
Type: Package
Title: Variance-Aware Michaelis-Menten Estimation and Inference
Version: 0.0.3
Authors@R: c(
    person(given = "Mijeong", family = "Kim", role = c("aut", "cre"),
           email = "m.kim@ewha.ac.kr"),
    person(given = "Minkyoung", family = "Cha", role = "aut"),
    person(given = "Ah Young", family = "Jeong", role = "aut")
  )
Description: 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) <doi:10.1007/s10463-011-0332-y>,
        Kim (2023) <doi:10.1002/sta4.606>, and Ma and Genton (2010)
        <doi:10.1111/j.1467-9868.2010.00741.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-11-02 09:48:54 UTC; root
Author: Mijeong Kim [aut, cre], Minkyoung Cha [aut], Ah Young Jeong
        [aut]
Maintainer: Mijeong Kim <m.kim@ewha.ac.kr>
Repository: https://mijeong-kim.r-universe.dev
Date/Publication: 2026-06-04 23:24:33 UTC
RemoteUrl: https://github.com/mijeong-kim/infermm
RemoteRef: HEAD
RemoteSha: c5b9905f05490b96cbcf019d1b4f2ef64b749571