Extract the estimated log transition intensities and the corresponding
linear effects of each covariate.
Usage
## S3 method for class 'msm'
coef(object, ...)
Arguments
object
A fitted multi-state model object, as returned by
msm.
...
(unused) further arguments passed to or from other methods.
Value
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
intensities.
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.