predictRisk.penCSC {CSCNet}

predictRisk.penCSC

Description

predictRisk method for absolute risk prediction. This is mainly for compatibility of 'CSCNet' with functions of 'riskRegression' package.

Usage

## S3 method for class 'penCSC'
predictRisk(object, newdata, times, cause, ...)

Arguments

object

An object of class 'penCSC'.

newdata

A data frame containing the variable information of new records.

times

A vector of time horizons which we want the absolute risk predictions at.

cause

A single value indicating the event of interest which we want the absolute risk predictions for. This value should be one of the values in the status variable of the data.

...

Additional arguments. Not used by predictRisk.penCSC.

Value

A matrix with columns of absolute risk predictions of individuals for each requested time horizon.

Author(s)

Shahin Roshani

References

Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the tidyverse. J Open Source Softw. 2019 Nov 21;4(43):1686.

Bache S, Wickham H (2022). magrittr: A Forward-Pipe Operator for R. https://magrittr.tidyverse.org, https://github.com/tidyverse/magrittr.

See Also

https://www.rdocumentation.org/packages/riskRegression/versions/1.3.7/topics/predictRisk

Details in: https://rdrr.io/cran/riskRegression/man/Score.html

Examples

library(riskRegression)

data(Melanoma)

vl <- list('1'=c('age','sex','ulcer','thick'),

          '2'=~age+sex+epicel+thick+ici)

al <- list('1'=0,'2'=.5)

ll <- list('1'=.01,'2'=.04)

penfit <- penCSC(time='time',status='status',vars.list=vl,

                data=Melanoma,alpha.list=al,lambda.list=ll)

predictRisk(penfit,Melanoma[1:5,],times=1825*(1:2),cause=1)