kmassesshalfsplit

<code>kmassesshalfsplit</code> determines the next question in a probabilistic
assessment according to the halfsplit rule.

Knowledge space theory by Doignon and Falmagne (1999)
<doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical
framework, which proposes mathematical formalisms to operationalize
knowledge structures in a particular domain. The 'kstMatrix' package
provides basic functionalities to generate, handle, and manipulate
knowledge structures and knowledge spaces. Opposed to the 'kst'
package, 'kstMatrix' uses matrix representations for knowledge
structures. Furthermore, 'kstMatrix' contains several knowledge spaces
developed by the research group around Cornelia Dowling through
querying experts.

Cord Hockemeyer

kstMatrix

Basic Functions in Knowledge Space Theory Using Matrix
Representation

Peter Steiner

Wai Wong

kmassesshalfsplit function

<dl><dt>probs</dt>
<dd>Probability distribution over the knowledge structure (vector)</dd>
<dt>ks</dt>
<dd>Binary matrix of the knowledge structure</dd></dl>

Arguments

Determine next question for probabilistic knowledge assessment — kmassesshalfsplit

<dl>

<dt>probs</dt>
<dd>Probability distribution over the knowledge structure (vector)</dd>


<dt>ks</dt>
<dd>Binary matrix of the knowledge structure</dd>

</dl>

kmassesshalfsplit: Determine next question for probabilistic knowledge assessment

Description

Usage

Value

Arguments

See Also

Examples