midas_r_plain | R Documentation |
Function for fitting MIDAS regression without the formula interface
midas_r_plain( y, X, z = NULL, weight, grw = NULL, startx, startz = NULL, method = c("Nelder-Mead", "BFGS"), ... )
y |
model response |
X |
prepared matrix of high frequency variable lags |
z |
additional low frequency variables |
weight |
the weight function |
grw |
the gradient of weight function |
startx |
the starting values for weight function |
startz |
the starting values for additional low frequency variables |
method |
a method passed to optimx |
... |
additional parameters to optimx |
an object similar to midas_r
object
Virmantas Kvedaras, Vaidotas Zemlys
data("USunempr") data("USrealgdp") y <- diff(log(USrealgdp)) x <- window(diff(USunempr),start=1949) trend <- 1:length(y) X<-fmls(x,11,12) midas_r_plain(y,X,trend,weight=nealmon,startx=c(0,0,0))
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