sample_fc_responses: Sample forced-choice responses from block-level pattern...
In ForceChoice: Forced-Choice Modeling Based on Item Response Theory and Cognitive Diagnostic Models
sample_fc_responses R Documentation
Sample forced-choice responses from block-level pattern probabilities
Description
Uses inverse-CDF multinomial sampling (identical to the C++ implementation
in forced_choice_from_agree) to draw a discrete pattern index for
each person-block combination.
Usage
sample_fc_responses(prob, patterns, N.person, N.block)
Arguments
prob
N \times \sum_B P_b matrix of block-level pattern
probabilities (stacked by block).
patterns
List of observed-pattern matrices (one per block).
N.person
Number of persons.
N.block
Number of blocks.
Value
A named list with response (N \times B integer
matrix of pattern indices) and data (N \times B character
matrix of ranking strings like "1>3>2").
ForceChoice documentation built on Sept. 13, 2026, 1:06 a.m.
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| sample_fc_responses | R Documentation |
Sample forced-choice responses from block-level pattern probabilities
Description
Uses inverse-CDF multinomial sampling (identical to the C++ implementation
in forced_choice_from_agree) to draw a discrete pattern index for
each person-block combination.
Usage
sample_fc_responses(prob, patterns, N.person, N.block)
Arguments
prob |
|
patterns |
List of observed-pattern matrices (one per block). |
N.person |
Number of persons. |
N.block |
Number of blocks. |
Value
A named list with response (N \times B integer
matrix of pattern indices) and data (N \times B character
matrix of ranking strings like "1>3>2").
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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