This function calculates the Fisher information matrix needed for the estimation of multistate models using the Fisher scoring algorithm.
This function implements the Fisher scoring matrix (i.e., the
second partial derivative of the log partial likelihood with respect
to the components of the regression effect vector
Fisher information matrix
## Not run: fisherinfo(mu, X)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.