Information criteria
Computation of information criteria such as AIC, BIC, and cAIC based on unconditional (joint), marginal, and conditional log-likelihood
## S3 method for class 'ppar' IC(object)
object |
Object of class |
The joint log-likelihood is established by summation of the logarithms of the estimated solving probabilities. The marginal log-likelihood can be computed directly from the conditional log-likelihood (see vignette for details).
The function IC returns an object of class ICr containing:
ICtable |
Matrix containing log-likelihood values, number of parameters, AIC, BIC, and cAIC for the joint, marginal, and conditional log-likelihood. |
#IC's for Rasch model res <- RM(raschdat2) #Rasch model pres <- person.parameter(res) #Person parameters IC(pres) #IC's for RSM res <- RSM(rsmdat) pres <- person.parameter(res) IC(pres)
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