sF: Score vector and Fisher information matrix of the Poisson log...
In penMSM: Estimating Regularized Multi-state Models Using L1 Penalties
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function calculates the score vector and the Fisher information matrix needed for the
estimation of multistate models using the Fisher scoring algorithm.
Usage
1
sF(mu, X, event)
Arguments
mu
mu.
X
design matrix.
event
non-censoring event indicator.
Details
This function implements the score vector and Fisher information matrix.
Value
s and F.
Author(s)
Holger Reulen
Examples
1
## Not run: sF(mu, X, event)
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 score vector and the Fisher information matrix needed for the estimation of multistate models using the Fisher scoring algorithm.
Usage
1 | sF(mu, X, event)
|
Arguments
mu |
mu. |
X |
design matrix. |
event |
non-censoring event indicator. |
Details
This function implements the score vector and Fisher information matrix.
Value
s and F.
Author(s)
Holger Reulen
Examples
1 | ## Not run: sF(mu, X, event)
|
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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