Developer documentation: model for covariates on misclassification probabilities
Description
A list representing the model for covariates on misclassification probabilities.
Value
npars 
Number 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. 
ndpars 
Number of distinct covariate effect parameters, as

ncovs 
Number of covariates on misclassification, with factors expanded as contrasts. 
constr 
List of equality constraints on these covariate effects,
as supplied in the 
covlabels 
Names / labels of these covariates in the model
matrix (see 
inits 
Initial values for these covariate effects, as a vector
formed from the 
covmeans 
Means 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). 
See Also
msm.object
.
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