R: Make predictions of predict functions in rows mononotone

pava.pred {timereg} | R Documentation

## Make predictions of predict functions in rows mononotone

### Description

Make predictions of predict functions in rows mononotone using the pool-adjacent-violators-algorithm

### Usage

    pava.pred(pred, increasing = TRUE)

### Arguments

`pred` | predictions, either vector or rows of predictions.
`increasing` | increasing or decreasing.

### Value

mononotone predictions.

### Author(s)

Thomas Scheike

### Examples

    data(bmt);

    ## competing risks
    add<-comp.risk(Event(time,cause)~platelet+age+tcell,data=bmt,cause=1)
    ndata<-data.frame(platelet=c(1,0,0),age=c(0,1,0),tcell=c(0,0,1))
    out<-predict(add,newdata=ndata,uniform=0)

    par(mfrow=c(1,1))
    head(out$P1)
    matplot(out$time,t(out$P1),type="s")

    ###P1m <- t(apply(out$P1,1,pava))
    P1monotone <- pava.pred(out$P1)
    head(P1monotone)
    matlines(out$time,t(P1monotone),type="s")

[Package timereg version 1.9.4 Index]