X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FR%2FfilterModels.R;fp=pkg%2FR%2FfilterModels.R;h=0000000000000000000000000000000000000000;hp=2659ed468a8450f5d84e8d75280148acdb5da29a;hb=08f4604c778da8af7e26b52b1d433a6be82c3139;hpb=086cf723817b690dc368d2f11b7b9e88d183e804

diff --git a/pkg/R/filterModels.R b/pkg/R/filterModels.R
deleted file mode 100644
index 2659ed4..0000000
--- a/pkg/R/filterModels.R
+++ /dev/null
@@ -1,36 +0,0 @@
-#' Among a collection of models, this function constructs a subcollection of models with
-#' models having strictly different dimensions, keeping the model which minimizes
-#' the likelihood if there were several with the same dimension
-#'
-#' @param LLF a matrix, the first column corresponds to likelihoods for several models
-#'				the second column corresponds to the dimensions of the corresponding models.
-#'
-#' @return a list with indices, a vector of indices selected models,
-#'				 and D1, a vector of corresponding dimensions
-#'
-#' @export
-filterModels = function(LLF)
-{
-	D = LLF[,2]
-	D1 = unique(D)
-
-	indices = rep(1, length(D1))
-	#select argmax MLE
-	if (length(D1)>2)
-	{
-		for (i in 1:length(D1))
-		{
-			A = c()
-			for (j in 1:length(D))
-			{
-				if(D[[j]]==D1[[i]])
-					a = c(a, LLF[j,1])
-			}
-			b = max(a)
-			#indices[i] : first indices of the binary vector where u_i ==1
-			indices[i] = which.max(LLF == b)
-		}
-	}
-
-	return (list(indices=indices,D1=D1))
-}