pwecxcens | R Documentation |
This will calculate the functions according to the piecewise exponential distribution with crossover
pwecxcens(t=seq(0,10,by=0.5),rate1=c(1,0.5),rate2=rate1,
rate3=c(0.7,0.4),rate4=rate2,rate5=rate2,ratec=c(0.2,0.3),
tchange=c(0,1),type=1,rp2=0.5,eps=1.0e-2)
t |
a vector of time points |
rate1 |
piecewise constant event rate before crossover |
rate2 |
piecewise constant event rate after crossover |
rate3 |
piecewise constant event rate for crossover |
rate4 |
additional piecewise constant event rate for more complex crossover |
rate5 |
additional piecewise constant event rate for more complex crossover |
ratec |
censoring piecewise constant event rate |
tchange |
a strictly increasing sequence of time points starting from zero at which event rate changes. The first element of tchange must be zero. The above rates |
type |
type of crossover, i.e. markov, semi-markov and hybrid |
rp2 |
re-randomization prob |
eps |
tolerance |
This is to calculate the function (and its derivative)
\xi(t)=\int_0^t \widetilde{f}(s)S_C(s)ds,
where S_C
is the piecewise exponential survival function of the censoring time, defined by tchange
and ratec
, and \widetilde{f}
is the density for the event distribution subject to crossover defined by tchange
, rate1
to rate5
and type
.
du |
the function |
duprime |
its derivative |
s |
the survival function of |
sc |
the survival function |
Xiaodong Luo
Luo, et al. (2017)
rpwe
r1<-c(0.6,0.3)
r2<-c(0.6,0.6)
r3<-c(0.1,0.2)
r4<-c(0.5,0.4)
r5<-c(0.4,0.5)
rc<-c(0.5,0.6)
exu<-pwecxcens(t=seq(0,10,by=0.5),rate1=r1,rate2=r2,
rate3=r3,rate4=r4,rate5=r5,ratec=rc,
tchange=c(0,1),type=1,eps=1.0e-2)
c(exu$du,exu$duprime)
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