X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FR%2FinitSmallEM.R;h=39453227c5847f0b4341de18287ae5d773492e3b;hp=937ea734aa427710540b69f75585f75eb6968795;hb=6af1d4897dbab92a7be05068e0e15823378965d9;hpb=6775f5b98ffc7eae7ce9d4081b23b39ce66d3c0b

diff --git a/pkg/R/initSmallEM.R b/pkg/R/initSmallEM.R
index 937ea73..3945322 100644
--- a/pkg/R/initSmallEM.R
+++ b/pkg/R/initSmallEM.R
@@ -1,13 +1,19 @@
+#' initSmallEM
+#'
 #' initialization of the EM algorithm
 #'
 #' @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 (the regression parameter reparametrized),
+#' rhoInit (the covariance parameter reparametrized), piInit (the proportion parameter is the
+#' mixture model), gamInit (the conditional expectation)
 #'
-#' @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)
@@ -76,5 +82,5 @@ 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)
 }