Run as lavaan model

This convenience function runs objects for which a method exists using lavaan. It is intended for use with tidySEM, and passes the $syntax and $data elements of a tidy_sem object on to lavaan.

Usage

run_lavaan(x, ...)

Arguments

x

An object for which a method exists.

...

Parameters passed on to other functions.

Value

Returns a lavaan object.

Examples

df <- iris[1:3]
names(df) <- paste0("X_", 1:3)
run_lavaan(measurement(tidy_sem(df), meanstructure = TRUE))
#> Warning: lavaan->lav_step11_estoptim():  
#>    the optimizer (NLMINB) claimed the model converged, but the solution seems 
#>    to have run away: the estimated residual variance of X_3 is -6.738, while 
#>    its observed variance is only 3.096; the objective function may not have a 
#>    minimum (an over-factored or otherwise unidentified model?); consider 
#>    adding bounds (e.g., bounds = "pos.var").
#> Warning: lavaan->lav_object_post_check():  
#>    some estimated ov variances are negative
#> lavaan 0.7-3 ended normally after 87 iterations
#> 
#>   Estimator                                         ML
#>   Optimization method                           NLMINB
#>   Number of model parameters                         9
#> 
#>   Number of observations                           150
#> 
#> Model Test User Model:
#>                                                       
#>   Test statistic                                 0.000
#>   Degrees of freedom                                 0
#>                                                       
#>   Browne's residual (NT model-based) test             
#>   Test statistic                                 0.000
#>   Degrees of freedom                                 0