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Lower perplexity indicates better model fit.
perplexity_items(lca_result, transmatrix, item = NULL)
numeric scalar perplexity
output from lca_cor() or numeric parameter vector
numeric matrix of transition counts (items x cells)
optional integer; specific item index (NULL = aggregate)
if (FALSE) { transmatrix <- multi_transmat(pre_test, pst_test) res <- lca_cor(transmatrix) perplexity_items(res, transmatrix) }
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