This convenience function runs objects for which a method exists using OpenMx, with sensible defaults. It is intended for use with tidySEM. For instance, it will convert a tidySEM object to a mxModel and run it, and it will try to ensure convergence for mixture models created using mx_mixture. Knowledgeable users may want to run models manually.

run_mx(x, ...)

Arguments

x

An object for which a method exists.

...

Parameters passed on to other functions.

Value

Returns an mxModel with free parameters updated to their final values.

Examples

df <- iris[1:3]
names(df) <- paste0("X_", 1:3)
run_mx(measurement(tidy_sem(df), meanstructure = TRUE))
#> Running model with 9 parameters
#> MxModel 'model' 
#> type : RAM 
#> $matrices : 'A', 'S', 'F', and 'M' 
#> $algebras : NULL 
#> $constraints : NULL 
#> $intervals : NULL 
#> $latentVars : 'X' 
#> $manifestVars : 'X_1', 'X_2', and 'X_3' 
#> $data : 150 x 3 
#> $data means : NA
#> $data type: 'raw' 
#> $submodels : NULL 
#> $expectation : MxExpectationRAM 
#> $fitfunction : MxFitFunctionML 
#> $compute : MxComputeSequence 
#> $independent : FALSE 
#> $options :  
#> $output : TRUE