# regression data (size n*p, where n is the number of observations,
# and p is the number of regressors)
- X = "numeric",
+ X = "matrix",
# response data (size n*m, where n is the number of observations,
# and m is the number of responses)
- Y = "numeric",
+ Y = "matrix",
# Optionally user defined (some default values)
{
YiRhoR[u] = 0.0;
for (int v=0; v<m; v++)
- YiRhoR[u] += Y[imi(i,v,n,m)] * rho[ai(v,u,r,m,m,k)];
+ YiRhoR[u] += Y[mi(i,v,n,m)] * rho[ai(v,u,r,m,m,k)];
}
//compute X(i,:)*phi(:,:,r)
#include <stdlib.h>
#include <omp.h>
+#include <math.h>
#include "EMGLLF.h"
#include "utils.h"
double* pi = (double*)malloc(k*sizeof(double));
double* LLF = (double*)malloc(maxi*sizeof(double));
double* S = (double*)malloc(p*m*k*sizeof(double));
- EMGLLF(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau,
+ EMGLLF_core(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau,
phi,rho,pi,LLF,S,
n,p,m,k);
free(LLF);