cosmetics

[valse.git] / pkg / R / EMGrank.R

diff --git a/pkg/R/EMGrank.R b/pkg/R/EMGrank.R
index 7c0d91f..5eea322 100644 (file)
--- 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))