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#' @title get_paths
#'
#' @details
#' Internal function. \code{get_paths} is called by \code{qcpm} and
#'
#' @param path_matrix the matrix of path coefficients
#' @param Y_lvs the matrix of latent variables
#' @param tau the quantile(s) to be estimated
#' @return the path coefficients
#' @keywords internal
#' @export
#'
get_paths <- function(path_matrix, Y_lvs, tau, full=TRUE,...)
{
lvs_names = colnames(path_matrix)
endogenous = as.logical(rowSums(path_matrix))
num_endo = sum(endogenous)
Path = path_matrix
for (aux in 1:num_endo)
{
# index for endo LV
k1 <- which(endogenous)[aux]
# index for indep LVs
k2 = which(path_matrix[k1,] == 1)
# elimnate warnings
path_rq= suppressWarnings((quantreg::rq(Y_lvs[,k1] ~ Y_lvs[,k2],tau)))
Path[k1,k2] = path_rq$coef[-1]
}
paths = as.matrix(Path[which(path_matrix==1)])
# output
paths
}
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