add_scoring_rules_mst

add scoring rules to an mst project

Conditional Maximum Likelihood Calibration and data management of multistage tests.
Supports polytomous items and incomplete designs with linear as well as multistage tests.
Extended Nominal Response and Interaction models, DIF and profile analysis.
See Robert J. Zwitser and Gunter Maris (2015)<doi:10.1007/s11336-013-9369-6>.

Timo Bechger

dexterMST

CML and Bayesian Calibration of Multistage Tests

Jesse Koops

Ivailo Partchev

Gunter Maris

Robert Zwitser

add_scoring_rules_mst function

<dl><dt>db</dt>
<dd>a dextermst db connection</dd>
<dt>rules</dt>
<dd>dataframe (item_id, response, item_score), 
listing all permissible responses to an item and their scores</dd></dl>

Arguments

add scoring rules to an mst project — add_scoring_rules_mst

<dl>

<dt>db</dt>
<dd>a dextermst db connection</dd>


<dt>rules</dt>
<dd>dataframe (item_id, response, item_score), 
listing all permissible responses to an item and their scores</dd>

</dl>

add_scoring_rules_mst: add scoring rules to an mst project

Description

Usage

Arguments