fitted_prclmm {pencal}

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)