fitted_prclmm: A fitted PRC LMM
In pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
fitted_prclmm R Documentation
A fitted PRC LMM
Description
This list contains a fitted PRC LMM, where the CBOCP is
computed using 50 cluster bootstrap samples. It is
used to reduce the computing time in the example of
the function performance_prc. 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 LMM
Author(s)
Mirko Signorelli
References
Signorelli, M. (2024). pencal: an R Package for the Dynamic
Prediction of Survival with Many Longitudinal Predictors.
To appear in: The R Journal. Preprint: arXiv:2309.15600
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.
DOI: 10.1002/sim.9178
See Also
performance_prc
Examples
data(fitted_prclmm)
ls(fitted_prclmm)
pencal documentation built on April 3, 2025, 10:32 p.m.
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| fitted_prclmm | R Documentation |
A fitted PRC LMM
Description
This list contains a fitted PRC LMM, where the CBOCP is
computed using 50 cluster bootstrap samples. It is
used to reduce the computing time in the example of
the function performance_prc. 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 LMM
Author(s)
Mirko Signorelli
References
Signorelli, M. (2024). pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors. To appear in: The R Journal. Preprint: arXiv:2309.15600
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. DOI: 10.1002/sim.9178
See Also
performance_prc
Examples
data(fitted_prclmm)
ls(fitted_prclmm)
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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