cell_probs

Functions for evaluating model fit via held-out likelihood and perplexity.
Two parallel sets of functions:
- `*_items`: Work on aggregated transition matrices, CV/evaluate over items
- `*_individuals`: Work on raw individual data, CV/evaluate over individuals
Calculate cell probabilities from parameters

internal

Provides tools to adjust estimates of learning for guessing-related
bias in educational and survey research. Implements standard guessing
correction methods and latent class models that leverage informative
pre-post test transitions to account for guessing behavior.
The package helps researchers obtain more accurate estimates of actual
learning when respondents may guess on closed-ended knowledge items.
For theoretical background and empirical validation, see Cor and Sood (2016)
<https://gsood.com/research/papers/guess.pdf>.

Gaurav Sood

guess

Adjust Estimates of Learning for Guessing

Ken Cor

cell_probs function

<dl><dt>params</dt>
<dd>numeric vector of length 4 (nodk) or 8 (dk)</dd></dl>

Arguments

Model Criticism Tools — cell_probs

<dl>

<dt>params</dt>
<dd>numeric vector of length 4 (nodk) or 8 (dk)</dd>

</dl>

cell_probs: Model Criticism Tools

Description

Usage

Value

Arguments