summary.prcmlpmm: Summary method for PRC-MLPMM model fits

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

Summary method for PRC-MLPMM model fits

Description

Summary method for PRC-MLPMM model fits

Usage

## S3 method for class 'prcmlpmm'
summary(object, ...)

Arguments

object	an object of class prcmlpmm
...	additional arguments

Value

An object of class 'sprcmlpmm'

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_prcmlpmm, print.prcmlpmm

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