R: Developer documentation: misclassification model structure...

emodel.object {msm} | R Documentation

## 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`.

[Package msm version 1.6.7 Index]