Conduct Likelihood Ratio tests

For a multigroup model of class MxModel, conduct overall and pairwise likelihood ratio tests. All submodels must be identical.

lr_test(x, compare = c("All", "A", "S", "F", "M", "Thresholds"), ...)

Arguments

x

An object for which a method exists.

compare

Character vector, indicating which matrices to constrain to be equal in pairwise comparisons.

...

Additional arguments passed to other functions.

Value

An object of class lr_test and list.

Examples

df <- iris[c(1:10, 140:150), c(1, 5)]
names(df) <- c("x", "group")
mod <- as_ram("x~1", data = df, group = "group")
mod <- run_mx(mod)
#> Running mg with 4 parameters
lr_test(mod)
#> Running mg with 2 parameters
#> Running mg with 2 parameters
#> BCH test for equality of means across classes
#> 
#> Overall likelihood ratio test:
#>  LL_baseline LL_restricted   LL_dif df            p
#>     12.02743      54.15309 42.12566  2 7.120795e-10
#> 
#> Pairwise comparisons using likelihood ratio tests:
#>  Model1    Model2 LL_baseline LL_restricted   LL_dif df            p
#>  setosa virginica    12.02743      54.15309 42.12566  2 7.120795e-10