Developer documentation: misclassification model structure object

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.