R語言實現混頻數據分析(一)

混頻數據抽樣迴歸模型(Mixed Frequency Data Sampling Regression)midasr指導手冊
step1:安裝包

install.packages("midasr")

step2:加載包：

library(midasr)

step3:示例

theta_h0 <- function(p, dk) {
  i <- (1:dk-1)/100
  pol <- p[3]*i + p[4]*i^2
  (p[1] + p[2]*i)*exp(pol)
}

theta0 <- theta_h0(c(-0.1,10,-10,-10),4*12)

xx <- ts(cumsum(rnorm(1000*12)), frequency = 12)
y <- midas_auto_sim(500, 0.5, xx, theta0, n_start = 200)
x <- window(xx, start=start(y))

dx <- c(NA,diff(x))

pp1 <- function(p,d)cumsum(theta_h0(p,d))

###Do the transformation by hand
mr <- midas_r(y~fmls(dx,4*12-1,12,pp1)+mls(x,4*12,12)-1,start=list(dx=c(-0.1,10,-10,-10)))

###Use the designated function
imr <- imidas_r(y~fmls(x,4*12-1,12,theta_h0)-1,start=list(x=c(-0.1,10,-10,-10)))

###Test the restriction. The usual test hAh can be used.
hAh_test(imr)