X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FR%2FoptimParams.R;h=13aec835f3a39e9060b6d080e10913ea3f121403;hb=074c721aa587d45c4f7ef10f8a28fdc09273d31a;hp=b7d901c16fae591f7c320d235cf7be825d76115c;hpb=0f5fbd1371011f25cd1f6caf0e826d2ea9e4e245;p=morpheus.git

diff --git a/pkg/R/optimParams.R b/pkg/R/optimParams.R
index b7d901c..13aec83 100644
--- a/pkg/R/optimParams.R
+++ b/pkg/R/optimParams.R
@@ -104,7 +104,7 @@ setRefClass(
       list(
         # p: dimension K-1, need to be completed
         "p" = c(v[1:(K-1)], 1-sum(v[1:(K-1)])),
-        "β" = matrix(v[K:(K+d*K-1)], ncol=K),
+        "β" = t(matrix(v[K:(K+d*K-1)], ncol=d)),
         "b" = v[(K+d*K):(K+(d+1)*K-1)])
     },
 
@@ -112,17 +112,17 @@ setRefClass(
     {
       "Linearize vectors+matrices from list L into a vector"
 
-      c(L$p[1:(K-1)], as.double(L$β), L$b)
+      # β linearized row by row, to match derivatives order
+      c(L$p[1:(K-1)], as.double(t(L$β)), L$b)
     },
 
     computeW = function(θ)
     {
-      #return (diag(c(rep(6,d), rep(3, d^2), rep(1,d^3))))
       require(MASS)
       dd <- d + d^2 + d^3
       M <- Moments(θ)
       Omega <- matrix( .C("Compute_Omega",
-        X=as.double(X), Y=as.double(Y), M=as.double(M),
+        X=as.double(X), Y=as.integer(Y), M=as.double(M),
         pn=as.integer(n), pd=as.integer(d),
         W=as.double(W), PACKAGE="morpheus")$W, nrow=dd, ncol=dd )
       MASS::ginv(Omega)
@@ -257,7 +257,7 @@ setRefClass(
       else if (!is.numeric(θ0$b) || length(θ0$b) != K || any(is.na(θ0$b)))
         stop("θ0$b: length K, no NA")
       # TODO: stopping condition? N iterations? Delta <= epsilon ?
-      for (loop in 1:10)
+      for (loop in 1:2)
       {
         op_res = constrOptim( linArgs(θ0), .self$f, .self$grad_f,
           ui=cbind(