starting.vals.PPO

Used by <code class="command">metaSDTreg</code> to calculate starting values using the partial proportional odds model as implemented in ordinal. Internal function.

internal

Regression methods for the meta-SDT model. The package implements methods for cognitive experiments of metacognition as described in Kristensen, S. B., Sandberg, K., & Bibby, B. M. (2020). Regression methods for metacognitive sensitivity. Journal of Mathematical Psychology, 94. <doi:10.1016/j.jmp.2019.102297>.

Simon Bang Kristensen

metaSDTreg

Regression Models for Meta Signal Detection Theory

Kristian Sandberg

Bo Martin Bibby

starting.vals.PPO function

<dl><dt>formula0</dt>
<dd>See <code>metaSDTreg</code>.</dd>
<dt>data0</dt>
<dd>Data frame.</dd>
<dt>control0</dt>
<dd>See <code>metaSDTcontrol</code>.</dd>
<dt>L0</dt>
<dd>Number of levels in ordinal type 2 response.</dd>
<dt>K0</dt>
<dd>Number of levels of ordinal response 'A'.</dd>
<dt>n.covar0</dt>
<dd>Number of covariates aside from the 'signal' variable.</dd></dl>

Arguments

Used by <code class='command'>metaSDTreg</code> to calculate starting values using the partial proportional odds model as implemented in ordinal. Internal function.

Starting values from PPO — starting.vals.PPO

<dl>

<dt>formula0</dt>
<dd>See <code>metaSDTreg</code>.</dd>


<dt>data0</dt>
<dd>Data frame.</dd>


<dt>control0</dt>
<dd>See <code>metaSDTcontrol</code>.</dd>


<dt>L0</dt>
<dd>Number of levels in ordinal type 2 response.</dd>


<dt>K0</dt>
<dd>Number of levels of ordinal response 'A'.</dd>


<dt>n.covar0</dt>
<dd>Number of covariates aside from the 'signal' variable.</dd>

</dl>

starting.vals.PPO: Starting values from PPO

Description

Usage

Value

Arguments

Details