From 0930b5d395ef0a48d1f97f88ee533c13d0962759 Mon Sep 17 00:00:00 2001
From: Benjamin Auder <benjamin.auder@somewhere>
Date: Fri, 14 Apr 2017 17:09:50 +0200
Subject: [PATCH] cosmetics

---
 pkg/R/EMGrank.R           | 5 ++---
 pkg/R/computeGridLambda.R | 3 +--
 pkg/R/initSmallEM.R       | 2 +-
 3 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/pkg/R/EMGrank.R b/pkg/R/EMGrank.R
index 7c0d91f..5eea322 100644
--- a/pkg/R/EMGrank.R
+++ b/pkg/R/EMGrank.R
@@ -48,7 +48,6 @@ matricize <- function(X)
 # R version - slow but easy to read
 .EMGrank_R = function(Pi, Rho, mini, maxi, X, Y, tau, rank)
 {
-  require(MASS)
   #matrix dimensions
   n = dim(X)[1]
   p = dim(X)[2]
@@ -77,7 +76,7 @@ matricize <- function(X)
       if (length(Z_indice) == 0)
         next
       #U,S,V = SVD of (t(Xr)Xr)^{-1} * t(Xr) * Yr
-      s = svd( ginv(crossprod(matricize(X[Z_indice,]))) %*%
+      s = svd( MASS::ginv(crossprod(matricize(X[Z_indice,]))) %*%
 				crossprod(matricize(X[Z_indice,]),matricize(Y[Z_indice,])) )
       S = s$d
       #Set m-rank(r) singular values to zero, and recompose
@@ -107,7 +106,7 @@ matricize <- function(X)
 			}
 			sumLogLLF2 = sumLogLLF2 + log(sumLLF1)
 		}
-  
+
 		LLF = -1/n * sumLogLLF2
 
 		#update distance parameter to check algorithm convergence (delta(phi, Phi))
diff --git a/pkg/R/computeGridLambda.R b/pkg/R/computeGridLambda.R
index 9d06aed..b295535 100644
--- a/pkg/R/computeGridLambda.R
+++ b/pkg/R/computeGridLambda.R
@@ -32,6 +32,5 @@ computeGridLambda = function(phiInit, rhoInit, piInit, gamInit, X, Y,
 		for (j in 1:m)
 			grid[i,j,] = abs(list_EMG$S[i,j,]) / (n*list_EMG$pi^gamma)
 	}
-	grid = unique(grid)
-	sort(grid)
+	sort( unique(grid) )
 }
diff --git a/pkg/R/initSmallEM.R b/pkg/R/initSmallEM.R
index bd5ce17..7ffbade 100644
--- a/pkg/R/initSmallEM.R
+++ b/pkg/R/initSmallEM.R
@@ -13,7 +13,7 @@ initSmallEM = function(k,X,Y, fast=TRUE)
 	n = nrow(Y)
 	m = ncol(Y)
 	p = ncol(X)
-  nIte = 20
+	nIte = 20
 	Zinit1 = array(0, dim=c(n,nIte))
 	betaInit1 = array(0, dim=c(p,m,k,nIte))
 	sigmaInit1 = array(0, dim = c(m,m,k,nIte))
-- 
2.44.0