get_precedent_patterns: Find precedent (subset) patterns for monotonicity enforcement
In ForceChoice: Forced-Choice Modeling Based on Item Response Theory and Cognitive Diagnostic Models
get_precedent_patterns R Documentation
Find precedent (subset) patterns for monotonicity enforcement
Description
For each attribute mastery pattern, identifies which other patterns are
proper subsets (i.e., mastering a subset of the attributes). Used to
enforce the GDINA monotonicity constraint: mastering more attributes
should never decrease the success probability.
Usage
get_precedent_patterns(patterns)
Arguments
patterns
A binary matrix of attribute mastery patterns
(L \times K).
Details
Equivalent to preloclist in the GDINA R package.
Value
A list of length L; the l-th element is an integer
vector of row indices corresponding to patterns that are proper
subsets of pattern l.
ForceChoice documentation built on Sept. 13, 2026, 1:06 a.m.
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| get_precedent_patterns | R Documentation |
Find precedent (subset) patterns for monotonicity enforcement
Description
For each attribute mastery pattern, identifies which other patterns are proper subsets (i.e., mastering a subset of the attributes). Used to enforce the GDINA monotonicity constraint: mastering more attributes should never decrease the success probability.
Usage
get_precedent_patterns(patterns)
Arguments
patterns |
A binary matrix of attribute mastery patterns
( |
Details
Equivalent to preloclist in the GDINA R package.
Value
A list of length L; the l-th element is an integer
vector of row indices corresponding to patterns that are proper
subsets of pattern l.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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