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.

A collection of functions for calculating the M2 model fit
statistic for diagnostic classification models as described by Liu et al.
(2016) <DOI:10.3102/1076998615621293>. These functions provide multiple
sources of information for model fit according to the M2 statistic,
including the M2 statistic, the *p* value for that M2 statistic, and the
Root Mean Square Error of Approximation based on the M2 statistic.

Jeffrey Hoover

dcm2

Calculating the M2 Model Fit Statistic for Diagnostic
Classification Models

W. Jake Thompson

Wenchao Ma

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