decisionCurveAnalysisSimple: Decision curve analysis using risk probability and label

In ProfessionalFarmer/loonR: Common function in bioinformatics analysis

Decision curve analysis using risk probability and label

Description

Decision curve analysis using risk probability and label

Usage

decisionCurveAnalysisSimple(
  label,
  pred,
  xstart = 0.01,
  xstop = 0.99,
  step = 0.01,
  type = "treated",
  model.name = "Model",
  boots = 0
)

Arguments

label	Should be 0 and 1
xstart	the starting point of the threshold probability, the default value is 0.01.
xstop	the end point of the threshold probability, the default value is 0.99
step	a numerical value specifying the incremental step of the threshold probability, the default value is 0.01
type	controls the type of net benefit to be computed. The allowed values correspond to the treated (“treated”), untreated (“untreated”) and overall (“overall”) patients, or to the ADAPT index (“adapt”). The default is the “treated”
model.name	Default Model
boots	100 Bootstrape to avoid overfitting

Examples

data(LIRI)

pred <- as.vector( unlist( LIRI[,c(3)] ) )
decisionCurveAnalysisSimple(LIRI$status, pred)

ProfessionalFarmer/loonR documentation built on Oct. 9, 2024, 9:56 p.m.