This function is a wrapper for the lavaan
estimating functions. By default, the wrapper uses sem,
but users can also specify lavaan,
cfa, or growth.
estimate_lavaan(x, func = "sem", ...)An object of class tidy_sem.
The lavaan modeling function to invoke,
Default: 'sem'.
Additional parameters passed to the estimating function.
An object of class lavaan.
library(lavaan)
model <- tidy_sem(iris, "\\.")
model <- measurement(model)
res <- estimate_lavaan(model)
#> Warning: lavaan WARNING: some estimated ov variances are negative
#> Warning: lavaan WARNING: covariance matrix of latent variables
#> is not positive definite;
#> use lavInspect(fit, "cov.lv") to investigate.
summary(res)
#> lavaan 0.6.17 ended normally after 47 iterations
#>
#> Estimator ML
#> Optimization method NLMINB
#> Number of model parameters 13
#>
#> Number of observations 150
#>
#> Model Test User Model:
#>
#> Test statistic 2.322
#> Degrees of freedom 1
#> P-value (Chi-square) 0.128
#>
#> Parameter Estimates:
#>
#> Standard errors Standard
#> Information Expected
#> Information saturated (h1) model Structured
#>
#> Latent Variables:
#> Estimate Std.Err z-value P(>|z|)
#> Sepal =~
#> Sepal.Length 1.000
#> Sepal.Width -0.270 0.053 -5.140 0.000
#> Petal =~
#> Petal.Length 1.000
#> Petal.Width 0.399 0.010 38.635 0.000
#>
#> Covariances:
#> Estimate Std.Err z-value P(>|z|)
#> Sepal ~~
#> Petal 1.256 0.157 8.020 0.000
#>
#> Intercepts:
#> Estimate Std.Err z-value P(>|z|)
#> .Sepal.Length 5.843 0.067 86.715 0.000
#> .Sepal.Width 3.057 0.035 86.196 0.000
#> .Petal.Length 3.758 0.144 26.160 0.000
#> .Petal.Width 1.199 0.062 19.335 0.000
#> Sepal 0.000
#> Petal 0.000
#>
#> Variances:
#> Estimate Std.Err z-value P(>|z|)
#> .Sepal.Length 0.525 0.100 5.243 0.000
#> .Sepal.Width 0.177 0.021 8.331 0.000
#> .Petal.Length -0.130 0.032 -4.031 0.000
#> .Petal.Width 0.064 0.009 7.361 0.000
#> Sepal 0.156 0.094 1.657 0.097
#> Petal 3.226 0.358 9.004 0.000
#>