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Scan-Statistics-Project-4Y-INSA
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Update tbe0 format

This commit is contained in:
Paul-Corbalan 2022-04-12 10:06:42 +02:00
parent 99209c344d
commit 34bba9b3f0
1 changed files with 12 additions and 5 deletions
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17
Comparaison_of_methods.rmd
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@ -299,13 +299,16 @@ LocaScoreMC <- function(lambda0, lambda1, NbSeq, tbe0, T){
xp = Score$X
P_X = Score$P_X
NbSeqH0 = length(tbe0)
min_X = min(xp)
max_X = max(xp)
for (i in 1:NbSeq){
x = floor(E*log(dexp(tbe0[[i]], rate = lambda1)/dexp(tbe0[[i]], rate = lambda0)))
#print(range(x))
print(length(tbe0[[i]]))
if (min(x)==Inf){
print(tbe0[[i]])
}
X = c(X,x)
LS = localScoreC(x)$localScore[1]
@ -328,9 +331,13 @@ for (lambda0 in (1:5)){
if (lambda0 < lambda1){
cat("Nb = ", NbSeq, ", lambda0 = ", lambda0, ", lambda1 = ", lambda1, "\n", sep = "")
ppH0 = PoissonProcess(lambda0,T)
n1 = length(ppH0)
tbe0 = ppH0[2:n1]-ppH0[1:n1-1]
tbe0=vector("list",length=NbSeq)
for (i in (1:NbSeq)) {
ppi = PoissonProcess(lambda0,T)
ni=length(ppi)
tbei=ppi[2:ni]-ppi[1:ni-1]
tbe0[[i]]=tbei
}
LS_H0 = LocaScoreMC(lambda0, lambda1, NbSeq, tbe0, T)