DoignonFalmagne7

Fictitious data set from Doignon and Falmagne (1999, chap. 7).
 Response patterns of 1000 respondents to five problems. Each
 respondent is assumed to be in one of nine possible states of
 the knowledge structure <code>K</code>.

datasets

Fitting and testing probabilistic knowledge structures,
especially the basic local independence model (BLIM, Doignon & Flamagne,
1999) and the simple learning model (SLM), using the minimum discrepancy
maximum likelihood (MDML) method (Heller & Wickelmaier, 2013
<doi:10.1016/j.endm.2013.05.145>).

Florian Wickelmaier

Probabilistic Knowledge Structures

Juergen Heller

Julian Mollenhauer

Pasquale Anselmi

Debora de Chiusole

Andrea Brancaccio

Luca Stefanutti

DoignonFalmagne7 function

A list consisting of two components:<dl>
 <dt><code>K</code></dt>
<dd>a state-by-problem indicator matrix representing the
 hypothetical knowledge structure. An element is one if the problem
 is contained in the state, and else zero.</dd> <dt><code>N.R</code></dt>
<dd>a named numeric vector. The names denote response
 patterns, the values denote their frequencies.</dd> 
</dl>

Format

Artificial Responses from Doignon and Falmagne (1999) — DoignonFalmagne7

A list consisting of two components:<dl>
 <dt><code>K</code></dt>
<dd>a state-by-problem indicator matrix representing the
 hypothetical knowledge structure. An element is one if the problem
 is contained in the state, and else zero.</dd>

 <dt><code>N.R</code></dt>
<dd>a named numeric vector. The names denote response
 patterns, the values denote their frequencies.</dd>

 
</dl>

DoignonFalmagne7: Artificial Responses from Doignon and Falmagne (1999)

Description

Usage

Arguments

Format

Examples