fitted_prcmlpmm: A fitted PRC MLPMM
In pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
fitted_prcmlpmm R Documentation
A fitted PRC MLPMM
Description
This list contains a fitted PRC MLPMM. It is
used to reduce the computing time in the example of
the function survpred_prcmlpmm. The simulated dataset
on which the model was fitted was landmarked at t = 2.
Usage
data(fitted_prclmm)
Format
A list comprising step 2 and step 3 as obtained
during the estimation of a PRC MLPMM
Author(s)
Mirko Signorelli
References
Signorelli, M., Spitali, P., Al-Khalili Szigyarto, C,
The MARK-MD Consortium, Tsonaka, R. (2021).
Penalized regression calibration: a method for the prediction
of survival outcomes using complex longitudinal and
high-dimensional data. Statistics in Medicine, 40 (27), 6178-6196.
DOI: 10.1002/sim.9178
See Also
survpred_prcmlpmm
Examples
data(fitted_prcmlpmm)
ls(fitted_prcmlpmm)
pencal documentation built on April 3, 2025, 10:32 p.m.
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| fitted_prcmlpmm | R Documentation |
A fitted PRC MLPMM
Description
This list contains a fitted PRC MLPMM. It is
used to reduce the computing time in the example of
the function survpred_prcmlpmm. The simulated dataset
on which the model was fitted was landmarked at t = 2.
Usage
data(fitted_prclmm)
Format
A list comprising step 2 and step 3 as obtained during the estimation of a PRC MLPMM
Author(s)
Mirko Signorelli
References
Signorelli, M., Spitali, P., Al-Khalili Szigyarto, C, The MARK-MD Consortium, Tsonaka, R. (2021). Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data. Statistics in Medicine, 40 (27), 6178-6196. DOI: 10.1002/sim.9178
See Also
survpred_prcmlpmm
Examples
data(fitted_prcmlpmm)
ls(fitted_prcmlpmm)
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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