kmsurmisefunction

<code>kmsurmisefunction</code> returns a data frame representing the
surmise function for a knowledge space or basis. The rows of the
data frame are ordered by item name.

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

kmsurmisefunction function

<dl><dt>x</dt>
<dd>Binary matrix representing a knowledge space or basis</dd></dl>

Arguments

Compute the surmise function for a knowledge space or basis — kmsurmisefunction

<dl>

<dt>x</dt>
<dd>Binary matrix representing a knowledge space or basis</dd>

</dl>

kmsurmisefunction: Compute the surmise function for a knowledge space or basis

Description

Usage

Value

Arguments

See Also

Examples