fisherinfoP: Fisher information matrix of the Poisson log likelihood.
In penMSM: Estimating Regularized Multi-state Models Using L1 Penalties
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function calculates the Fisher information matrix
needed for the estimation of multistate models using the Fisher
scoring algorithm.
Usage
1
fisherinfoP(mu, X)
Arguments
mu
mu.
X
design matrix.
Details
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 beta).
Value
Fisher information matrix info.
Author(s)
Holger Reulen
Examples
1
## Not run: fisherinfo(mu, X)
Example output
penMSM documentation built on May 2, 2019, 11:06 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This function calculates the Fisher information matrix needed for the estimation of multistate models using the Fisher scoring algorithm.
Usage
1 | fisherinfoP(mu, X)
|
Arguments
mu |
mu. |
X |
design matrix. |
Details
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 beta).
Value
Fisher information matrix info.
Author(s)
Holger Reulen
Examples
1 | ## Not run: fisherinfo(mu, X)
|
Example output
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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