X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=R%2FdiscardSimilarModels2.R;fp=R%2FdiscardSimilarModels2.R;h=0000000000000000000000000000000000000000;hp=b59c1ba601dea29236ed6f3e83952733a43b6631;hb=ef67d338c7f28ba041abe40ca9a8ab69f8365a90;hpb=c3bc47052f3ccb659659c59a82e9a99ea842398d

diff --git a/R/discardSimilarModels2.R b/R/discardSimilarModels2.R
deleted file mode 100644
index b59c1ba..0000000
--- a/R/discardSimilarModels2.R
+++ /dev/null
@@ -1,20 +0,0 @@
-#' Similar to discardSimilarModels, for Lasso-rank procedure (focus on columns)
-#'
-#' @param B1 array of relevant coefficients (of size p*m*length(gridlambda))
-#' @param rho covariance matrix
-#' @param pi weight parameters
-#'
-#' @return a list with B1, in, rho, pi
-#' @export
-#'
-discardSimilarModels2 = function(B1,rho,pi)
-{	ind = c()
-	dim_B1 = dim(B1)
-	B2 = array(0,dim=c(dim_B1[1],dim_B1[2],dim_B1[3]))
-	sizeLambda=dim_B1[3]
-	glambda = rep(0,sizeLambda)
-
-	suppressmodel = discardSimilarModels(B1,B2,glambda,rho,pi)
-	return (list(B1 = suppressmodel$B1, ind = suppressmodel$ind,
-		rho = suppressmodel$rho, pi = suppressmodel$pi))
-}