print.prclmm {pencal}

Print method for PRC-LMM model fits

Description

Print method for PRC-LMM model fits

Usage

## S3 method for class 'prclmm'
print(x, digits = 4, ...)

Arguments

x

an object of class prclmm

digits

number of digits at which the printed estimated regression coefficients should be rounded (default is 4)

...

additional arguments

Value

Summary information about the fitted PRC-LMM model

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_prclmm, summary.prclmm