A generic function to extract elements from objects of class
page gives the elements that can be extracted from the class
To see what can be extracted from
Qval, go to the corresponding function help page.
Objects which can be extracted from
GDINA objects include:
attribute prior weights for calculating marginalized likelihood in the last EM iteration
GDINA discrimination index
A list of design matrices for each item/category
expected # of examinees in each latent group answering item correctly
expected # of examinees in each latent group
higher-order model specifications
link functions for each item
initial item category probability parameters
prevalence of each attribute
posterior weights for each latent class
objects from class
what to extract
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