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pencal (version 2.3.0)

summary.ranefs: Summary for step 2 of PRC

Description

Summary function to extract basic descriptives from `summarize_lmms` and `summarize_mlpmms`

Usage

# S3 method for ranefs
summary(object, ...)

Value

Information about number of predicted random effects and sample size

Arguments

object

the output of `summarize_lmms` or `summarize_mlpmms`

...

additional arguments

Author

Mirko Signorelli

References

Signorelli, M. (2024). pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors. The R Journal, 16 (2), 134-153.

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.

See Also

summarize_lmms, summarize_mlpmms