fishercpp: Fisher information matrix of the log partial likelihood of a...
In penMSM: Estimating Regularized Multi-state Models Using L1 Penalties
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function provides a fast implementation for the calculation of the Fisher information matrix
needed for the estimation of fusion lasso penalized multi-state models in a piece-wise exponential framework.
Usage
1
fishercpp(Xcpp, mucpp)
Arguments
Xcpp
...
mucpp
...
Details
...
Value
...
Author(s)
Holger Reulen
Examples
1
## Not run: fishercpp(Xcpp, mucpp)
penMSM documentation built on May 2, 2019, 11:06 a.m.
R Package Documentation
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Description Usage Arguments Details Value Author(s) Examples
Description
This function provides a fast implementation for the calculation of the Fisher information matrix needed for the estimation of fusion lasso penalized multi-state models in a piece-wise exponential framework.
Usage
1 | fishercpp(Xcpp, mucpp)
|
Arguments
Xcpp |
... |
mucpp |
... |
Details
...
Value
...
Author(s)
Holger Reulen
Examples
1 | ## Not run: fishercpp(Xcpp, mucpp)
|
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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