-
- #Generate X and Y
- generateIOdef = generateIOdefault(n, p, m, k)
- construct_LME = constructionModelesLassoMLE(params$phiInit,params$rhoInit,params$piInit,params$gamInit,mini,maxi,gamma,glambda,generateIOdef$X,generateIOdef$Y,seuil,tau,A1,A2)
- phi = construct_LME$phi
- rho = construct_LME$rho
- pi = construct_LME$pi
- lvraisemblance = construct_LME$lvraisemblance
-
+ io = generateIOdefault(n, p, m, k)
+
+ #save inputs
+ write.table(as.double(params$phiInit), paste(testFolder,"phiInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(params$rhoInit), paste(testFolder,"rhoInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(params$piInit), paste(testFolder,"piInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(params$gamInit), paste(testFolder,"gamInit",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(gamma), paste(testFolder,"gamma",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(lambda), paste(testFolder,"lambda",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(io$X), paste(testFolder,"X",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(io$Y), paste(testFolder,"Y",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.double(tau), paste(testFolder,"tau",sep=""),
+ row.names=F, col.names=F)
+ write.table(as.integer(c(n,p,m,k)), paste(testFolder,"dimensions",sep=""),
+ row.names=F, col.names=F)
+
+ res = constructionModelesLassoMLE(
+ params$phiInit,params$rhoInit,params$piInit,params$gamInit,
+ mini,maxi,gamma,glambda,io$X,io$Y,seuil,tau,A1,A2)
+