Skip to contents

NA

Usage

foo(fit)

Arguments

fit

model to fit.

Examples

HS.model <- 'visual =~ x1 + x2 + x3'
library(lavaan)
fit <- lavaan::cfa(model = HS.model, data = HolzingerSwineford1939)
foo(fit)
#> lavaan 0.6-12 ended normally after 23 iterations
#> 
#>   Estimator                                         ML
#>   Optimization method                           NLMINB
#>   Number of model parameters                         6
#> 
#>   Number of observations                           301
#> 
#> Model Test User Model:
#>                                                       
#>   Test statistic                                 0.000
#>   Degrees of freedom                                 0
#> 
#> Parameter Estimates:
#> 
#>   Standard errors                             Standard
#>   Information                                 Expected
#>   Information saturated (h1) model          Structured
#> 
#> Latent Variables:
#>                    Estimate  Std.Err  z-value  P(>|z|)
#>   visual =~                                           
#>     x1                1.000                           
#>     x2                0.778    0.141    5.532    0.000
#>     x3                1.107    0.214    5.173    0.000
#> 
#> Variances:
#>                    Estimate  Std.Err  z-value  P(>|z|)
#>    .x1                0.835    0.118    7.064    0.000
#>    .x2                1.065    0.105   10.177    0.000
#>    .x3                0.633    0.129    4.899    0.000
#>     visual            0.524    0.130    4.021    0.000
#>