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.
Author
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk