summary.mlpmmfit: Extract model fits from step 1 of PRC-LMM

In pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival

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. (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, 40 (27), 6178-6196. DOI: 10.1002/sim.9178

See Also

fit_mlpmms and summary.multlcmm

pencal documentation built on April 3, 2025, 10:32 p.m.