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FCO
View on CRAN: Click
here
Download and install FCO package within the R console
Install from CRAN:
install.packages("FCO")
Install from Github:
library("remotes")
install_github("cran/FCO") Install by package version:
library("remotes")
install_version("FCO", "2.0.2") Attach the package and use:
library("FCO")
Maintained by
Thomas Niemand
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-11
Latest Update: 2023-03-17
Description:
A toolbox to derive flexible cutoffs for fit indices in 'Covariance-based Structural Equation Modeling' based on the paper by 'Niemand & Mai (2018)' . 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 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.
How to cite:
Thomas Niemand (2022). FCO: Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models. R package version 2.0.2, https://cran.r-project.org/web/packages/FCO. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Other R packages that FCO depends,
imports, suggests or enhances
Complete documentation for FCO
Functions, R codes and Examples using
the FCO R package
Some associated functions: bb1992 . flex_co . gen_fit . index_guess . pop_mod . recommend . recommend_dv .
Some associated R codes: bb1992.R . check_std.R . constr_mod.R . flex_co.R . gen_fit.R . generator.R . get_free.R . hb_load.R . index_guess.R . merge_factors.R . pop_mod.R . pop_mod_dv.R . recommend.R . recommend_dv.R . Full FCO package functions and examples
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