hxbeta {PWEALL} | R Documentation |
A function to calculate the beta-smoothed hazard rate
Description
A function to calculate the beta-smoothed hazard rate
Usage
hxbeta(x=c(0.5,1),y=seq(.1,1,by=0.01),d=rep(1,length(y)),
tfix=2,K=20,eps=1.0e-06)
Arguments
x |
time points where the estimated hazards are calculated |
y |
observed times |
d |
non-censoring indicators |
tfix |
maximum time point at which the hazard function is estimated |
K |
smooth parameter for the hazard estimate |
eps |
the error tolerance when comparing event times |
Details
V1:3/21/2018
Value
lambda |
estimated hazard at points |
Author(s)
Xiaodong Luo
Examples
n<-200
taur<-2.8
u<-c(1/taur,1/taur)
ut<-c(taur/2,taur)
tfix<-taur+2
tseq<-seq(0,tfix,by=0.1)
r11<-c(1,0.5)
r21<-c(0.5,0.8)
r31<-c(0.7,0.4)
r41<-r51<-r21
rc1<-c(0.5,0.6)
tchange<-c(0,1.873)
E<-T<-C<-d<-rep(0,n)
E<-rpwu(nr=n,u=u,ut=ut)$r
C<-rpwe(nr=n,rate=rc1,tchange=tchange)$r
T<-rpwecx(nr=n,rate1=r11,rate2=r21,rate3=r31,
rate4=r41,rate5=r51,tchange=tchange,type=1)$r
y<-pmin(pmin(T,C),tfix-E)
y1<-pmin(C,tfix-E)
d[T<=y]<-1
lambda=hxbeta(x=tseq,y=y,d=d,tfix=tfix,K=20,eps=1.0e-06)$lambda
lambda
[Package PWEALL version 1.3.0.1 Index]