X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FR%2FinitSmallEM.R;h=10cb19130ef889579cb08b9e4698a11f9687fb27;hp=7e9cce57b6c2cad973db5dc1f794ac764857b7d4;hb=fb3557f39487d9631ffde30f20b70938d2a6ab0c;hpb=f32535f2bc8d50470aa87204bbd7971805dbc9ef

diff --git a/pkg/R/initSmallEM.R b/pkg/R/initSmallEM.R
index 7e9cce5..10cb191 100644
--- a/pkg/R/initSmallEM.R
+++ b/pkg/R/initSmallEM.R
@@ -3,11 +3,12 @@
 #' @param k number of components
 #' @param X matrix of covariates (of size n*p)
 #' @param Y matrix of responses (of size n*m)
+#' @param fast boolean to enable or not the C function call
 #'
 #' @return a list with phiInit, rhoInit, piInit, gamInit
-#' @export
-#' @importFrom methods new
+#'
 #' @importFrom stats cutree dist hclust runif
+#' @export
 initSmallEM <- function(k, X, Y, fast)
 {
   n <- nrow(X)
@@ -34,7 +35,7 @@ initSmallEM <- function(k, X, Y, fast)
     for (r in 1:k)
     {
       Z <- Zinit1[, repet]
-      Z_indice <- seq_len(n)[Z == r]  #renvoit les indices où Z==r
+      Z_indice <- seq_len(n)[Z == r]  #renvoit les indices ou Z==r
       if (length(Z_indice) == 1) {
         betaInit1[, , r, repet] <- MASS::ginv(crossprod(t(X[Z_indice, ]))) %*%
           crossprod(t(X[Z_indice, ]), Y[Z_indice, ])
@@ -76,5 +77,5 @@ initSmallEM <- function(k, X, Y, fast)
   piInit <- piInit1[b, ]
   gamInit <- gamInit1[, , b]
 
-  return(list(phiInit = phiInit, rhoInit = rhoInit, piInit = piInit, gamInit = gamInit))
+  list(phiInit = phiInit, rhoInit = rhoInit, piInit = piInit, gamInit = gamInit)
 }