ecmodel.object: Developer documentation: model for covariates on misclassification probabilities
Description
A list representing the model for covariates on misclassification probabilities.Value
- nparsNumber of covariate effect parameters. This is defined as the
number of covariates on misclassification (with factors expanded as contrasts) multiplied
by the number of allowed misclassifications in the model.
- ndparsNumber of distinct covariate effect parameters, as
npars, but after any equality constraints have been applied. - ncovsNumber of covariates on misclassification, with factors
expanded as contrasts.
- constrList of equality constraints on these covariate effects,
as supplied in the
miscconstraint argument to msm. - covlabelsNames / labels of these covariates in the model
matrix (see
model.matrix.msm). - initsInitial values for these covariate effects, as a vector
formed from the
misccovinits list supplied to msm. - covmeansMeans of these covariates in the data (excluding data
not required to fit the model, such as observations with missing data
in other elements or subjects' last observations). This includes
means of 0/1 factor contrasts as
well as continuous covariates (for
historic reasons, which may not be sensible).