log_odds

logit

inv_logit

These functions implement the log-odds (or logit) transformation. This is a
common transformation for psychometric models that is used to put
probabilities on a continuous scale.

Access data sets for demonstrating or testing diagnostic
classification models. Simulated data sets can be used to compare estimated
model output to true data-generating values. Real data sets can be used to
demonstrate real-world applications of diagnostic models.

W. Jake Thompson

dcmdata

Data Sets for Diagnostic Classification Modeling

University of Kansas 

Institute of Education Sciences 

log_odds function

<dl><dt>x</dt>
<dd>A number to be transformed.</dd></dl>

Arguments

Log-odds transformation — log_odds

<dl>

<dt>x</dt>
<dd>A number to be transformed.</dd>

</dl>

log_odds: Log-odds transformation

Description

Usage

Value

Arguments

Examples