Displaying 3 results from an estimated 3 matches for "pseudovalue".
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pseudovalues
2013 Feb 01
0
Cumulative Incidence Function and Pseudovalue
Hi,
I want to write own R functions for cumulative incidence function and also
for the pseudovalue of the cumulative incidence function.
Can you help me?
Tas.
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2011 Jun 16
0
Update: Is there an implementation of loess with more than 3 parametric predictors or a trick to a similar effect?
..."n", "vc", "nc", "nv", "liv", "lv")
enough <- (D + 1) * pars["nv"]
fit.kd <- list(parameter=pars, a=z$a[1L:pars[4L]], xi=z$xi[1L:pars[4L]],
vert=z$vert, vval=z$vval[1L:enough])
}
if(iterations > 1) {
pseudovalues <- .Fortran(R_lowesp,
as.integer(N),
as.double(y),
as.double(z$fitted.values),
as.double(weights),
as.double(robust),
integer(N),
pseudovalues = double(N))$pseudovalues
zz <- .C(R_loess_raw,
as.double(pseudovalues),
as.double(x),
as.double(weights),...
2013 Mar 07
1
Comparing Cox model with Competing Risk model
I have a competing risk data where a patient may die from either AIDS or
Cancer. I want to compare the cox model for each of the event of interest
with a competing risk model. In the competing risk model the cumulative
incidence function is used directly. I used the jackknife (pseudovalue) of
the cumulative incidence function for each cause (AIDS or Cancer) in a
generalized estimating equation. I used the following code:
>library(pseudo)
>cutoffs<-c(0.5,5.5,10.5,15.5)
>pseudo<-pseudoci(time,event,tmax=cutoffs)
>library(geepack)
>fit<-geese(pseudo~as.factor(A...