emodel.object: Developer documentation: misclassification model structure object
Description
A list giving information about the misclassifications assumed in a
multi-state model fitted with the ematrix argument of
msm. Returned in a fitted msm model object.
This information is converted internally to a hmodel
object (see hmodel.object) for use in likelihood computations.Value
- nstatesNumber of states (same as
qmodel$nstates). - nparsNumber of allowed misclassifications, equal to
sum(imatrix). - imatrixIndicator matrix for allowed misclassifications. This has
$(r,s)$ entry 1 if misclassification of true state $r$ as
observed state $s$ is possible.
diagonal entries are arbitrarily set to 0.
- ematrixMatrix of initial values for the misclassification probabilities, supplied as the
ematrix argument of msm. - initsVector of these initial values, reading across rows of
qmatrix and excluding the diagonal and disallowed transitions. - constrIndicators for equality constraints on baseline misclassification
probabilities, taken from the
econstraint argument to
msm, and mapped if necessary to the set (1,2,3,...) - ndparsNumber of distinct misclassification probabilities, after applying
equality constraints.
- niparsNumber of initial state occupancy probabilities being
estimated. This is zero if
est.initprobs=FALSE, otherwise equal to
the number of states. - initprobsInitial state occupancy probabilities, as supplied to
msm (initial values before estimation, if est.initprobs=TRUE.) - est.initprobsAre initial state occupancy probabilities
estimated (
TRUE or FALSE), as supplied in the
est.initprobs argument of msm.