Package: FCO
Title: Flexible Cutoffs for Model Fit Evaluation in Covariance-Based
        Structural Models
Version: 2.0.2
Authors@R: c(
    person("Thomas", "Niemand", , "thomas.niemand@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-7677-1168")),
    person("Robert", "Mai", , "robert.mai@grenoble-em.com", role = "ctb",
           comment = c(ORCID = "0000-0002-8364-9328")),
    person("Nadine", "Schröder", , "nadine.schroeder1@hsbi.de", role = "ctb",
           comment = c(ORCID = "0000-0001-6650-4656")),
    person("Andreas", "Falke", , "andreas.falke@wiwi.uni-regensburg.de", role = "ctb",
           comment = c(ORCID = "0000-0002-1519-0738"))
  )
Author: Thomas Niemand [aut, cre]
        (<https://orcid.org/0000-0001-7677-1168>), Robert Mai [ctb]
        (<https://orcid.org/0000-0002-8364-9328>), Nadine Schröder
        [ctb] (<https://orcid.org/0000-0001-6650-4656>), Andreas Falke
        [ctb] (<https://orcid.org/0000-0002-1519-0738>)
Maintainer: Thomas Niemand <thomas.niemand@gmail.com>
Description: A toolbox to derive flexible cutoffs for fit indices in
        'Covariance-based Structural Equation Modeling' based on the
        paper by 'Niemand & Mai (2018)'
        <doi:10.1007/s11747-018-0602-9>. Flexible cutoffs are an
        alternative to fixed cutoffs - rules-of-thumb - regarding an
        appropriate cutoff for fit indices such as 'CFI' or 'SRMR'. It
        has been demonstrated that these flexible cutoffs perform
        better than fixed cutoffs in grey areas where misspecification
        is not easy to detect. The package provides an alternative to
        the tool at <https://flexiblecutoffs.org> as it allows to
        tailor flexible cutoffs to a given dataset and model, which is
        so far not available in the tool. The package simulates fit
        indices based on a given dataset and model and then estimates
        the flexible cutoffs. Some useful functions, e.g., to determine
        the 'GoF-' or 'BoF-nature' of a fit index, are provided. So
        far, additional options for a relative use (is a model better
        than another?) are provided in an exploratory manner.
License: GPL (>= 3)
URL: https://flexiblecutoffs.org, https://github.com/ThomasNiemand/FCO/
Depends: R (>= 4.4.0)
Imports: checkmate, cutpointr, data.table, doParallel, dplyr, foreach,
        ggplot2, lavaan, overlapping, parallel, PoisBinOrdNor, psych,
        rcompanion, simstandard, stringr, tidyr
Suggests: knitr, MASS, rmarkdown, testthat
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        libx11-dev zlib1g-dev
Repository: https://thomasniemand.r-universe.dev
Date/Publication: 2026-02-25 16:56:04 UTC
RemoteUrl: https://github.com/thomasniemand/fco
RemoteRef: HEAD
RemoteSha: 9d476dccf2ef89392424dd2cd313af6d47c26b7e
NeedsCompilation: no
Packaged: 2026-10-13 13:46:56 UTC; root