publish.Score: Publish predictive accuracy results

In tagteam/Publish: Format Output of Various Routines in a Suitable Way for Reports and Publication

Publish predictive accuracy results

Description

Write output of riskRegression::Score in tables

Usage

## S3 method for class 'Score'
publish(object, metrics, score = TRUE, contrasts = TRUE, level = 3, ...)

Arguments

object	Object obtained with riskRegression::Score
metrics	Which metrics to put into tables. Defaults to object$metrics.
score	Logical. If TRUE print the score elements, i.e., metric applied to the risk prediction models.
contrasts	Logical. If TRUE print the contrast elements (if any). These compare risk prediction models according to metrics.
level	Level of subsection headers, i.e., ** for level 2 and *** for level 3 (useful for emacs org-users). Default is plain subsection headers no stars. A negative value will suppress subjection headers.
...	Passed to publish

Details

Collect prediction accuracy results in tables

Value

Results of Score in tabular form

Author(s)

Thomas A. Gerds <[e-mail]>

Examples

if (requireNamespace("riskRegression",quietly=TRUE)){
library(riskRegression)
library(survival)
learn = sampleData(100)
val= sampleData(100)
f1=CSC(Hist(time,event)~X1+X8,data=learn)
f2=CSC(Hist(time,event)~X1+X5+X6+X8,learn)
xs=Score(list(f1,f2),data=val,formula=Hist(time,event)~1)
publish(xs)
}

tagteam/Publish documentation built on April 13, 2025, 6:22 a.m.