From: emilie <emilie@devijver.org>
Date: Fri, 21 Apr 2017 14:24:06 +0000 (+0200)
Subject: ...
X-Git-Url: https://git.auder.net/variants/Cwda/complete_rules.html?a=commitdiff_plain;h=43f9cdc196c73bf1074924d4921445d63e89a2f4;p=valse.git

...
---

43f9cdc196c73bf1074924d4921445d63e89a2f4
diff --cc pkg/R/constructionModelesLassoMLE.R
index 0197e1a,78e11ad..16f58b6
--- a/pkg/R/constructionModelesLassoMLE.R
+++ b/pkg/R/constructionModelesLassoMLE.R
@@@ -80,18 -80,7 +80,7 @@@ constructionModelesLassoMLE <- function
        norm_fact <- sum(gam)
        sumLogLLH <- sumLogLLH + log(norm_fact) - log((2 * base::pi)^(m/2))
      }
 -    llhLambda <- c(sumLogLLH/n, (dimension + m + 1) * k - 1)
 +    llhLambda <- c(-sumLogLLH/n, (dimension + m + 1) * k - 1)
-     # densite <- vector("double", n)
-     # for (r in 1:k)
-     # {
-     #   if (length(col.sel) == 1)
-     #   {
-     #     delta <- (Y %*% rhoLambda[, , r] - (X[, col.sel] %*% t(phiLambda[col.sel, , r])))
-     #   } else delta <- (Y %*% rhoLambda[, , r] - (X[, col.sel] %*% phiLambda[col.sel, , r]))
-     #   densite <- densite + piLambda[r] * det(rhoLambda[, , r])/(sqrt(2 * base::pi))^m * 
-     #     exp(-rowSums(delta^2)/2)
-     # }
-     # llhLambda <- c(mean(log(densite)), (dimension + m + 1) * k - 1)
      list(phi = phiLambda, rho = rhoLambda, pi = piLambda, llh = llhLambda)
    }