Other packages > Find by keyword >

FCO  

Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models
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", "2.0.0")



Attach the package and use:
library("FCO")
Maintained by
Thomas Niemand
[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 2.0.0, https://cran.r-project.org/web/packages/FCO. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.7.2 (2022-02-11 20:20), 0.8.0 (2023-03-17 12:30), 2.0.0 (2025-09-25 13:40), 2.0.1 (2026-02-13 21:30)
Other packages that cited FCO R package
View FCO citation profile
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA