Extract the estimated log transition intensities and the corresponding linear effects of each covariate.

## Usage

```
# S3 method for 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