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.
Number of states (same as qmodel$nstates).
Number of allowed misclassifications, equal to
sum(imatrix).
Indicator 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.
Matrix of initial values for the
misclassification probabilities, supplied as the ematrix argument of
msm.
Vector of these initial values, reading
across rows of qmatrix and excluding the diagonal and disallowed
transitions.
Indicators for equality constraints on baseline
misclassification probabilities, taken from the econstraint argument
to msm, and mapped if necessary to the set (1,2,3,...)
Number of distinct misclassification probabilities, after applying equality constraints.
Number of initial state
occupancy probabilities being estimated. This is zero if
est.initprobs=FALSE, otherwise equal to the number of states.
Initial state occupancy probabilities, as supplied to
msm (initial values before estimation, if
est.initprobs=TRUE.)
Are initial state
occupancy probabilities estimated (TRUE or FALSE), as supplied
in the est.initprobs argument of msm.
msm.object,qmodel.object,
hmodel.object.