Extract the estimated log transition intensities and the corresponding linear effects of each covariate.
A fitted multi-state model object, as returned by
(unused) further arguments passed to or from other methods.
If there is no misclassification,
coef.msm returns a list of matrices.
The first component, labelled
logbaseline, is a matrix containing the estimated
transition intensities on the log scale with any covariates fixed at
their means in the data. Each remaining component is a matrix giving the linear
effects of the labelled covariate on the matrix of log
For misclassification models,
coef.msm returns a list of
lists. The first component,
Qmatrices, is a list of matrices as described in the
previous paragraph. The additional component
Ematrices is a
list of similar format containing the logit-misclassification
probabilities and any estimated covariate effects.
C. H. Jackson email@example.com