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#'@title Cross-correlations statistics for testing independence between the innovations of 3 series of same length
#'@description This function computes the cross-correlations for all lags = -lag2, .. lag2, for all pairs, and for pair of lags = (-lag3,-lag3),...(lag3,lag3) for the three series3.
#'
#'@param x Pseudo-observations (or residuals) of first series.
#'@param y Pseudo-observations (or residuals) of second series.
#'@param z Pseudo-observations (or residuals) of third series.
#'@param lag2 Maximum number of lags around 0 for pairs of series.
#'@param lag3 Maximum number of lags around 0 for the three series.
#
#'
#'@return \item{LB}{Cross-correlations for all lags and for all subsets}
#'@return \item{H}{Sum of squares of cross-correlations for all subsets}
#'@return \item{pvalue}{P-value of LB for all subsets and H}
#'@return \item{n}{length of the time series}
#'
#'@references Duchesne, Ghoudi & Remillard (2012). On Testing for independence between the innovations of several time series. CJS, vol. 40, 447-479.
#'
#'@examples
#' # Romano-Siegel's example #
#'data(romano_ex)
#'outr = crosscor_3series(romano_ex$x,romano_ex$y,romano_ex$z,5,2)
#'
#'@export
crosscor_3series <-function(x,y,z,lag2,lag3)
{
n = length(x);
m1 = 2*lag2+1;
m2 = (2*lag3+1)*(2*lag3+1);
R12 = vector(mode = "double", length=m1);
R13 = vector(mode = "double", length=m1);
R23 = vector(mode = "double", length=m1);
R123 = vector(mode = "double", length=m2);
out0 = .C("crosscor3d",
as.double(x),
as.double(y),
as.double(z),
as.integer(n),
as.integer(lag2),
as.integer(lag3),
R120=double(m1),
R130=double(m1),
R230=double(m1),
R1230=double(m2),
H12=double(1),
H13=double(1),
H23=double(1),
H123=double(1),
H=double(1))
m = 2*lag3+1;
sum3 = 0;
iid = vector(mode= "integer",length = m1);
for(l in 0:lag2)
{
sum3 = sum3+1;
iid[sum3] = lag2+l+1;
}
for(l in 1:lag2)
{
sum3 = sum3+1;
iid[sum3] = lag2-l+1;
}
sum3 = 0;
ind = vector(mode= "integer",length = m2);
for(lag in 0:lag3)
{
for(l in 0:lag3)
{
sum3 = sum3+1;
ind[sum3] = (lag+lag3)*m +lag3+l+1;
}
}
for(lag in 0:lag3)
{
for(l in 1:lag3)
{
sum3 = sum3+1;
ind[sum3] = (lag+lag3)*m +lag3-l+1;
}
}
for(lag in 1:lag3)
{
for(l in 0:lag3)
{
sum3 = sum3+1;
ind[sum3] = (-lag+lag3)*m +lag3+l+1;
}
}
for(lag in 1:lag3)
{
for(l in 1:lag)
{
sum3 = sum3+1;
ind[sum3] = (-lag+lag3)*m +lag3-l+1;
}
}
for(lag in 1:(lag3-1))
{
for(l in (lag+1):lag3)
{
sum3 = sum3+1;
ind[sum3] = (-lag+lag3)*m +lag3-l+1;
}
}
out2 = out0[c(11:15)];
for (i in 1:m1) {
R12[iid[i]] = out0$R120[i];
R13[iid[i]] = out0$R130[i];
R23[iid[i]] = out0$R230[i];
}
for (i in 1:m2) { R123[ind[i]] =out0$R1230[i]; }
subsets = vector(mode="character",length = m2);
sum3=0;
for ( i in -lag3:lag3)
{
for( j in -lag3:lag3)
{
sum3 = sum3+1;
subsets[sum3] = paste('{',i,',',j,'}');
}
}
#out = list(stat=R12,LB=out0$H12,pvalue = 1-pchisq(out0$H12,m),subsets=c(-lag:lag))
PVH12 = 1-pchisq(out2$H12,m1);
PVH13 = 1-pchisq(out2$H13,m1);
PVH23 = 1-pchisq(out2$H23,m1);
PVH123 = 1-pchisq(out2$H123,m2);
PVH = 1-pchisq(out2$H,(3*m1+m2));
out12 = list(LB=R12,pvalue=PVH12,subsets=c(-lag2:lag2),n=n)
out13 = list(LB=R13,pvalue=PVH13,subsets=c(-lag2:lag2),n=n)
out23 = list(LB=R23,pvalue=PVH23,subsets=c(-lag2:lag2),n=n)
out123 = list(LB=R123,pvalue=PVH123,subsets=subsets,n=n)
out=list(out12=out12,out13=out13,out23=out23,out123=out123,H=out0$H,pvalue.H=PVH)
#
# if(graph)
# {
# CrossCorrelogram(out12,"{1,2}")
# CrossCorrelogram(out13,"{1,3}")
# CrossCorrelogram(out23,"{2,3}")
# CrossCorrelogram(out123,"{1,2,3}",rot=90)
#
#
# }
out
}
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