Description Usage Arguments Examples
This function takes a named list of indicator variable names; if there is only one character vector, a unidimensional CFA is fit, but if there is more than one character vector, a multidimensional CFA is fit, whereby the latent variables are named after the elements of the list. Function by Steph Gauvin
1 | fitMultiMod(df, vars, categ = FALSE)
|
df |
the data frame that includes the to-be analyzed indicators |
vars |
a named list of one or more character vectors of indicator names |
categ |
an optional logical (defaults to FALSE) for whether indicators are categorical (in which case, ordered ULSMVS estimation is used, otherwise "MLR" is used) |
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