IRT.likelihood.Rd
Functions for extracting the individual likelihood and individual posterior distribution.
IRT.likelihood(object, ...) IRT.posterior(object, ...) # S3 method for din IRT.likelihood(object, ...) # S3 method for din IRT.posterior(object, ...) # S3 method for gdina IRT.likelihood(object, ...) # S3 method for gdina IRT.posterior(object, ...) # S3 method for gdm IRT.likelihood(object, ...) # S3 method for gdm IRT.posterior(object, ...) # S3 method for mcdina IRT.likelihood(object, ...) # S3 method for mcdina IRT.posterior(object, ...) # S3 method for reglca IRT.likelihood(object, ...) # S3 method for reglca IRT.posterior(object, ...) # S3 method for slca IRT.likelihood(object, ...) # S3 method for slca IRT.posterior(object, ...)
object | |
---|---|
... | More arguments to be passed. |
For both functions IRT.likelihood
and IRT.posterior
,
it is a matrix with attributes
Uni- or multidimensional skill space (theta grid in item response models).
Probability distribution of theta
Design matrix and estimated parameters for
skill space distribution (only for IRT.posterior.slca
)
Number of groups
GDINA::indlogLik
,
GDINA::indlogPost
############################################################################# # EXAMPLE 1: Extracting likelihood and posterior from a DINA model ############################################################################# data(sim.dina, package="CDM") data(sim.qmatrix, package="CDM") #*** estimate model mod1 <- CDM::din( sim.dina, q.matrix=sim.qmatrix, rule="DINA") #*** extract likelihood likemod1 <- CDM::IRT.likelihood(mod1) str(likemod1) # extract theta attr(likemod1, "theta" ) #*** extract posterior pomod1 <- CDM::IRT.posterior( mod1 ) str(pomod1)