Generate a random realization of a minimally defined k-Cube Thurstonian IRT Model. Probably no need for user to call; called by kcirt.sim.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: ikcirt.rndData1
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Converts a dichotomous response matrix, Y, to rank data. Probably no need for user to call; called by kcirt.model.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: ikcirt.Y2data
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Used by kcirt.fitMSS; not to be called by user.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: ikcirt.fun.mss.lambda
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Calculate System Information imparted to States through Y*.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: kcirt.ystarinfo
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k-Cube Thurstonian IRT Fitting using a least-squares expectation-expectation algorithm.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: kcirt.fitEE
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Convert the non-differenced latent responses to Data. Probably no need for user to call; called by kcirt.sim.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: ikcirt.Ustar2data
●
0 images
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Used by kcirt.fitMSS; not to be called by user.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: ikcirt.fun.mss.eta
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Create a k-Cube Thurstonian IRT Model skeleton.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: kcirt.model
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Use metaheuristic stochastic search to locate k-Cube Thurstonian IRT hyperparameters and states.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: kcirt.fitMSS
●
0 images
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Used by kcirt.fitMSS; not to be called by user.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: ikcirt.fun.mss.mu
●
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providing 
.