cut_factors: Cut Factors Based on Credible Loadings
In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice
View source: R/factor_analysis.R
cut_factors R Documentation
Cut Factors Based on Credible Loadings
Description
This function removes factors that do not have more than one credible loading
based on the specified confidence interval.
Usage
cut_factors(emc, CI = 95)
Arguments
emc
An 'emc' object containing factor analysis results
CI
Numeric. Confidence interval percentage (default is 95)
Value
An 'emc' object with factors that don't meet the credibility criterion removed
EMC2 documentation built on Dec. 2, 2025, 9:06 a.m.
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View source: R/factor_analysis.R
| cut_factors | R Documentation |
Cut Factors Based on Credible Loadings
Description
This function removes factors that do not have more than one credible loading based on the specified confidence interval.
Usage
cut_factors(emc, CI = 95)
Arguments
emc |
An 'emc' object containing factor analysis results |
CI |
Numeric. Confidence interval percentage (default is 95) |
Value
An 'emc' object with factors that don't meet the credibility criterion removed
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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