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Refresh package, suppress what we won't do right now. Focus on doc + debug
[valse.git]
/
pkg
/
R
/
initSmallEM.R
diff --git
a/pkg/R/initSmallEM.R
b/pkg/R/initSmallEM.R
index
01147d7
..
7e9cce5
100644
(file)
--- a/
pkg/R/initSmallEM.R
+++ b/
pkg/R/initSmallEM.R
@@
-1,4
+1,4
@@
-#' initialization of the EM algorithm
+#' initialization of the EM algorithm
#'
#' @param k number of components
#' @param X matrix of covariates (of size n*p)
#'
#' @param k number of components
#' @param X matrix of covariates (of size n*p)
@@
-36,10
+36,10
@@
initSmallEM <- function(k, X, Y, fast)
Z <- Zinit1[, repet]
Z_indice <- seq_len(n)[Z == r] #renvoit les indices où Z==r
if (length(Z_indice) == 1) {
Z <- Zinit1[, repet]
Z_indice <- seq_len(n)[Z == r] #renvoit les indices où Z==r
if (length(Z_indice) == 1) {
- betaInit1[, , r, repet] <- MASS::ginv(crossprod(t(X[Z_indice, ]))) %*%
+ betaInit1[, , r, repet] <- MASS::ginv(crossprod(t(X[Z_indice, ]))) %*%
crossprod(t(X[Z_indice, ]), Y[Z_indice, ])
} else {
crossprod(t(X[Z_indice, ]), Y[Z_indice, ])
} else {
- betaInit1[, , r, repet] <- MASS::ginv(crossprod(X[Z_indice, ])) %*%
+ betaInit1[, , r, repet] <- MASS::ginv(crossprod(X[Z_indice, ])) %*%
crossprod(X[Z_indice, ], Y[Z_indice, ])
}
sigmaInit1[, , r, repet] <- diag(m)
crossprod(X[Z_indice, ], Y[Z_indice, ])
}
sigmaInit1[, , r, repet] <- diag(m)
@@
-54,7
+54,7
@@
initSmallEM <- function(k, X, Y, fast)
{
dotProduct <- tcrossprod(Y[i, ] %*% rhoInit1[, , r, repet]
- X[i, ] %*% phiInit1[, , r, repet])
{
dotProduct <- tcrossprod(Y[i, ] %*% rhoInit1[, , r, repet]
- X[i, ] %*% phiInit1[, , r, repet])
- Gam[i, r] <- piInit1[repet, r] *
+ Gam[i, r] <- piInit1[repet, r] *
det(rhoInit1[, , r, repet]) * exp(-0.5 * dotProduct)
}
sumGamI <- sum(Gam[i, ])
det(rhoInit1[, , r, repet]) * exp(-0.5 * dotProduct)
}
sumGamI <- sum(Gam[i, ])