mgcfa_diagnose: Quick diagnostics for multiple-group lavaan models
In MaksimRudnev/MIE.package: Measurement Invariance Explorer (MIE)
mgcfa_diagnose R Documentation
Quick diagnostics for multiple-group lavaan models
Description
Quick diagnostics for multiple-group lavaan models
Usage
mgcfa_diagnose(lavaan.model, output = c("overall", "neg.var", "mi"))
Arguments
lavaan.model
Fitted lavaan multiple group model.
output
A character list of what diagnostics should be computed.
#'
- overall
Prints chi-sq, CFI, RMSEA, and SRMR
- neg.var
Checks if there are negative variances of latent variables, if yes, identifies the groups and prints them.
- mi
Aggregates modification indices across groups, finding the most impactful. Also prints the top part of sorted table of modification indices.
- constraints
Optional. Applies and prints lavTestScore_clean.
Details
Doesn't return anything.
MaksimRudnev/MIE.package documentation built on March 5, 2024, 1:24 p.m.
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.
| mgcfa_diagnose | R Documentation |
Quick diagnostics for multiple-group lavaan models
Description
Quick diagnostics for multiple-group lavaan models
Usage
mgcfa_diagnose(lavaan.model, output = c("overall", "neg.var", "mi"))
Arguments
lavaan.model |
Fitted lavaan multiple group model. |
output |
A character list of what diagnostics should be computed. #'
|
Details
Doesn't return anything.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.