coef.msm: Extract model coefficients

In msm: Multi-State Markov and Hidden Markov Models in Continuous Time

Description

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(s)

C. H. Jackson [e-mail]

See Also

msm

msm documentation built on May 2, 2019, 6:51 p.m.