perplexity_items: Calculate perplexity from aggregated item data

In guess: Adjust Estimates of Learning for Guessing

Calculate perplexity from aggregated item data

Description

Lower perplexity indicates better model fit.

Usage

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

## Not run: 
transmatrix <- multi_transmat(pre_test, pst_test)
res <- lca_cor(transmatrix)
perplexity_items(res, transmatrix)

## End(Not run)

guess documentation built on Aug. 3, 2026, 9:07 a.m.