Calculate perplexity from aggregated item data

Lower perplexity indicates better model fit.

perplexity_items(lca_result, transmatrix, item = NULL)

Arguments

lca_result

output from lca_cor() or numeric parameter vector

transmatrix

numeric matrix of transition counts (items x cells)

item

optional integer; specific item index (NULL = aggregate)

Value

numeric scalar perplexity

Examples

if (FALSE) { # \dontrun{
transmatrix <- multi_transmat(pre_test, pst_test)
res <- lca_cor(transmatrix)
perplexity_items(res, transmatrix)
} # }