I don't know if this is still relevant for you, but probably for someone
else.
I ran into the same problem an found two dirty workarounds that can help
in many cases (but not all). Both can also be combined:
1. repeat the call to "segmented" with different seeds and different
initial estima
Hello,
Any one who can help me with the problems regrarding segmented
regression.
1.When I run the code as following:
library(segmented)
n <-100
S<-200
x1 <- seq(-0.99,0.99,length=29)
MSEPtrm<-matrix(0,S,1)
MAEtrm<-matrix(0,S,1)
TRM<-matrix(0,S,length(x1))
for (s in seq(1:S)){
set.seed(123*s
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