Description Usage Arguments Author(s) Examples
View source: R/twin.clustertrunc.r
Estimation of twostage model with cluster truncation in bivariate situation
1 2 | twin.clustertrunc(survformula, data = sys.parent(), theta.des = NULL,
clusters = NULL, Nit = 10, final.fitting = FALSE, ...)
|
survformula |
Formula with survival model aalen or cox.aalen, some limitiation on model specification due to call of fast.reshape (so for example interactions and * and : do not work here, expand prior to call) |
data |
Data frame |
theta.des |
design for dependence parameters in two-stage model |
clusters |
clustering variable for twins |
Nit |
number of iteration |
final.fitting |
TRUE to do final estimation with SE and ... arguments for marginal models |
... |
Additional arguments to lower level functions |
Thomas Scheike
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(diabetes)
v <- diabetes$time*runif(nrow(diabetes))*rbinom(nrow(diabetes),1,0.5)
diabetes$v <- v
aout <- twin.clustertrunc(Surv(v,time,status)~1+treat+adult,
data=diabetes,clusters="id")
aout$two ## twostage output
par(mfrow=c(2,2))
plot(aout$marg) ## marginal model output
out <- twin.clustertrunc(Surv(v,time,status)~1+prop(treat)+prop(adult),
data=diabetes,clusters="id")
out$two ## twostage output
plot(out$marg) ## marginal model output
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