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guess (version 0.7.0)

perplexity_items: Calculate perplexity from aggregated item data

Description

Lower perplexity indicates better model fit.

Usage

perplexity_items(lca_result, transmatrix, item = NULL)

Value

numeric scalar perplexity

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)

Examples

Run this code
if (FALSE) {
transmatrix <- multi_transmat(pre_test, pst_test)
res <- lca_cor(transmatrix)
perplexity_items(res, transmatrix)
}

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