emodel.object: Developer documentation: misclassification model structure...

In msm: Multi-State Markov and Hidden Markov Models in Continuous Time

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

nstates	Number of states (same as qmodel$nstates).
npars	Number of allowed misclassifications, equal to sum(imatrix).
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.
ematrix	Matrix of initial values for the misclassification probabilities, supplied as the ematrix argument of msm.
inits	Vector of these initial values, reading across rows of qmatrix and excluding the diagonal and disallowed transitions.
constr	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,...)
ndpars	Number of distinct misclassification probabilities, after applying equality constraints.
nipars	Number of initial state occupancy probabilities being estimated. This is zero if est.initprobs=FALSE, otherwise equal to the number of states.
initprobs	Initial state occupancy probabilities, as supplied to msm (initial values before estimation, if est.initprobs=TRUE.)
est.initprobs	Are initial state occupancy probabilities estimated (TRUE or FALSE), as supplied in the est.initprobs argument of msm.

See Also

msm.object,qmodel.object, hmodel.object.

msm documentation built on Oct. 5, 2024, 1:07 a.m.