ajout des commentaires Roxygen - anglicisme de certains noms de fonctions et de variables

[valse.git] / R / basicInitParameters.R

diff --git a/R/basicInitParameters.R b/R/basicInitParameters.R
index 6090d0a..9801229 100644 (file)
--- a/R/basicInitParameters.R
+++ b/R/basicInitParameters.R
@@ -1,18 +1,28 @@
+#-----------------------------------------------------------------------
+#' Initialize the parameters in a basic way (zero for the conditional mean,
+#'  uniform for weights, identity for covariance matrices, and uniformly distributed forthe clustering)
+#' @param n sample size
+#' @param p number of covariates
+#' @param m size of the response
+#' @param k number of clusters
+#' @return list with phiInit, rhoInit,piInit,gamInit
+#' @export
+#-----------------------------------------------------------------------
 basic_Init_Parameters = function(n,p,m,k)
 {
-       phiInit = array(0, dim=c(p,m,k))
-
-       piInit = (1./k)*rep.int(1,k)
-
-       rhoInit = array(0, dim=c(m,m,k))
-       for(i in 1:k)
-               rhoInit[,,i] = diag(m)
-
-       gamInit = 0.1*array(1, dim=c(n,k))
-       R = sample(1:k,n, replace=TRUE)
-       for(i in 1:n)
-               gamInit[i,R[i]] = 0.9
-       gamInit = gamInit/sum(gamInit[1,])
-
-       return (list(phiInit, rhoInit, piInit, gamInit))
+  phiInit = array(0, dim=c(p,m,k))
+  
+  piInit = (1./k)*rep.int(1,k)
+  
+  rhoInit = array(0, dim=c(m,m,k))
+  for(i in 1:k)
+    rhoInit[,,i] = diag(m)
+  
+  gamInit = 0.1*array(1, dim=c(n,k))
+  R = sample(1:k,n, replace=TRUE)
+  for(i in 1:n)
+    gamInit[i,R[i]] = 0.9
+  gamInit = gamInit/sum(gamInit[1,])
+  
+  return (data = list(phiInit = phiInit, rhoInit = rhoInit, piInit = piInit, gamInit = gamInit))
 }