R/ones.R

In FAVAR: Bayesian Analysis of a FAVAR Model

ones <- function (...) {
  nargs <- length(dots <- list(...))
  dims <- as.integer(if (nargs == 1 && is.size_t(dots[[1]])) {
    dots[[1]]
  } else {
    unlist(dots)
  })
  if (length(dims) == 1) {
    dims[2] <- dims[1]
  }
  if (!(length(dims) > 1)) {
    stop("dimensions must be of length greater than 1")
  }
  else if (!(all(dims > 0))) {
    stop("dimensions must be a positive quantity")
  }
  return(array(1, dims))
}