spelling error

Author: onnokleen

R/fit_mfgarch.R

@@ -25,9 +25,9 @@
 #' @importFrom numDeriv jacobian
 #' @importFrom utils tail
 #' @examples \dontrun{fit_mfgarch(data = df_financial, y = "return", x = "nfci", low.freq = "week", K = 52)}
-# fit_mfgarch(data = df_mfgarch, y = "return", x = "nfci", low.freq = "year_week", K = 52, x.two = "dindpro", K.two = 12, low.freq.two = "year_month", weighting.two = "beta.restricted")
+#' @examples \dontrun{fit_mfgarch(data = df_mfgarch, y = "return", x = "nfci", low.freq = "year_week", K = 52, x.two = "dindpro", K.two = 12, low.freq.two = "year_month", weighting.two = "beta.restricted")}
 
-fit_mfgarch <- function(data, y, x = NULL, K = NULL, low.freq = "date", var.ratio.freq = NULL, gamma = TRUE, weighting = "beta.restricted", x.two = NULL, K.two = NUlL, low.freq.two = NULL, weighting.two = NULL, multi.start = FALSE) {
+fit_mfgarch <- function(data, y, x = NULL, K = NULL, low.freq = "date", var.ratio.freq = NULL, gamma = TRUE, weighting = "beta.restricted", x.two = NULL, K.two = NULL, low.freq.two = NULL, weighting.two = NULL, multi.start = FALSE) {
 
   print("For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100.")