Experimental: This item information curve is not computed using formula but simulation. This function simulate data given beta then the data is converted into logit score using R2L function. Then, we will produce a plot of uncertainty against the known logit score
1 | test.information.curve(beta, thres, n.chains)
|
beta |
beta of each item |
thres |
andrich threshold |
n.chains |
number of chains in MCMC |
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