| summary.mlpmmfit {pencal} | R Documentation |
Extract model fits from step 1 of PRC-LMM
Description
Utility function to extract the MLPMM summaries from a model fit obtained through 'fit_mlpmms'
Usage
## S3 method for class 'mlpmmfit'
summary(object, yname, ...)
Arguments
object |
the output of 'fit_lmms' |
yname |
a character giving the name of one of the longitudinal outcomes modelled within one of the MLPMM |
... |
additional arguments |
Value
The model summary as returned by 'summary.multlcmm'
Author(s)
Mirko Signorelli
References
Signorelli, M. (2023). pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors. arXiv 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, 40 (27), 6178-6196. DOI: 10.1002/sim.9178
See Also
fit_mlpmms and summary.multlcmm