Used in dataSimulation, this function sets up an N by n matrix of
index values that specify the index of the option chosen by an examinee or
respondent for a specific question.
chcemat_simulate(index.pop, SfdList)An N by n matrix of integer index values.
A vector containing population score index values at which data are to be simulated.
A numbered list object produced by a TestGardener analysis of a test. Its length
is equal to the number of items in the test or questions in the scale.
Each member of SfdList is a named list containing information computed during the analysis.
These named lists contain these objects:
A functional data object containing the M surprisal curves
f. or a question.
The number of options.
A matrix containing proportions at each bin.
A matrix containing surprisal values at each bin.
A matrix of probabilities over a fine mesh.
A matrix of surprisal values over a fine mesh.
A matrix of the values of the first derivative of surprisal curves over fine mesh.
A matrix of the values of the second derivative of surprisal curves over fine mesh.
For each question and each examinee a vector of random multinomial integer values is generated using the probability transforms of the surprisal curves and the examinee's score index value.
Ramsay, J. O., Li J. and Wiberg, M. (2020) Full information optimal scoring. Journal of Educational and Behavioral Statistics, 45, 297-315. s
Ramsay, J. O., Li J. and Wiberg, M. (2020) Better rating scale scores with information-based psychometrics. Psych, 2, 347-360.