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##########################################################################################################
#
# miscor: Miscellaneous Functions for the Correlation Coefficient
#
# Internal function: intercor.all
#
# Function copied from the PoisNonNor package <cran.r-project.org/web/packages/PoisNonNor>
internal.intercor.all <- function (cmat, pmat = NULL, lamvec = NULL) {
n1 <- ifelse(is.null(lamvec), 0, length(lamvec))
n2 <- ifelse(is.null(pmat), 0, dim(pmat)[1])
if ((n1 + n2) != dim(cmat)[1]) {
stop("Correlation matrix dimension is not consistent with number of variables!\n")
}
if ((!is.null(lamvec)) & (sum(lamvec > 0) < n1)) {
stop("Specified lambda should be positive \n")
}
if ((!is.null(pmat)) & (dim(pmat)[2] != 4)) {
stop("column of pmat must be 4\n")
}
cmat_N_N <- diag(1, (n1 + n2))
if (n1 != 0) {
cmat_PP <- cmat[1:n1, 1:n1]
cmat_N_N[1:n1, 1:n1] <- internal.intercor.PP(lamvec, cmat_PP)
}
if (n2 != 0) {
cmat_NN <- cmat[(n1 + 1):(n1 + n2), (n1 + 1):(n1 + n2)]
cmat_N_N[(n1 + 1):(n1 + n2), (n1 + 1):(n1 + n2)] <- internal.intercor.NN(pmat, cmat_NN)
}
if (n1 != 0 & n2 != 0) {
cmat_NNP <- cmat[1:n1, (n1 + 1):(n1 + n2)]
cmat_N_N[1:n1, (n1 + 1):(n1 + n2)] <- internal.intercor.NNP(lamvec, cmat_NNP, pmat)
cmat_N_N[(n1 + 1):(n1 + n2), 1:n1] <- t(cmat_N_N[1:n1, (n1 + 1):(n1 + n2)])
}
return(cmat_N_N)
}
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