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I tried using your great package for multiple-group LCA. However, my manifest variables entering the model are not binary, but ordinal with five levels. When trying to compare the models with gofglca(), the output gives the following:
In gofglca(own_celkem_lca2, own_celkem_lca3, test = "boot", seed = 1) :
Since responses are different, deviance table does not printed.
Is it somehow possible to inlude non-binary variables in the models so the function can print a deviance table?
Or is there any other way to decide which model (without groups; with groups and measure.inv = T; or measure.inv = F) is the appropriate one?
Thank you.
The text was updated successfully, but these errors were encountered:
Dear Mr. Kim,
I tried using your great package for multiple-group LCA. However, my manifest variables entering the model are not binary, but ordinal with five levels. When trying to compare the models with gofglca(), the output gives the following:
In gofglca(own_celkem_lca2, own_celkem_lca3, test = "boot", seed = 1) :
Since responses are different, deviance table does not printed.
Is it somehow possible to inlude non-binary variables in the models so the function can print a deviance table?
Or is there any other way to decide which model (without groups; with groups and measure.inv = T; or measure.inv = F) is the appropriate one?
Thank you.
The text was updated successfully, but these errors were encountered: