Merge branch 'main' of https://github.com/Paul-Corbalan/Scan-Statistics-Project-4Y-INSA
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				@ -316,6 +316,7 @@ ScoreDistribElisa <- function(lambda0, lambda1, T){
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```{r}
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					```{r}
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					T=10
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distrib_score_mc=ScoreDistribEmpiric(2,3,10000,T)
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					distrib_score_mc=ScoreDistribEmpiric(2,3,10000,T)
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distrib_score_theo=ScoreDistribElisa(2,3,T)
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					distrib_score_theo=ScoreDistribElisa(2,3,T)
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@ -333,6 +334,7 @@ plot_graph_distrib_score <- function(distrib_score_theo, distrib_score_mc){
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    #diff_distrib_score=abs(distrib_score_mc[,2]-distrib_score_theo[,2])
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					    #diff_distrib_score=abs(distrib_score_mc[,2]-distrib_score_theo[,2])
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    #par(mfrow = c(1,2))
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					    #par(mfrow = c(1,2))
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    barplot(distrib_score_mc[,2],col="blue",axes=F)
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					    barplot(distrib_score_mc[,2],col="blue",axes=F)
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    mtext("Distribution of scores via Monte Carlo",side=1,line=2.5,col="blue")
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					    mtext("Distribution of scores via Monte Carlo",side=1,line=2.5,col="blue")
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@ -346,7 +348,6 @@ plot_graph_distrib_score <- function(distrib_score_theo, distrib_score_mc){
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plot_graph_distrib_score(distrib_score_theo, distrib_score_mc)
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					plot_graph_distrib_score(distrib_score_theo, distrib_score_mc)
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```
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					```
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### 3.2. Local score calculation
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					### 3.2. Local score calculation
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```{r}
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					```{r}
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LocalScoreMC <- function(lambda0, lambda1, NbSeq, T, X_seq, P_X, tbe0){
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					LocalScoreMC <- function(lambda0, lambda1, NbSeq, T, X_seq, P_X, tbe0){
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