midas_si_plain function

MIDAS Single index regression

MIDAS Single index regression

Function for fitting SI MIDAS regression without the formula interface

midas_si_plain( y, X, p.ar = NULL, weight, degree = 1, start_bws, start_x, start_ar = NULL, method = "Nelder-Mead", ... )

Arguments

  • y: model response
  • X: prepared matrix of high frequency variable lags for MMM term
  • p.ar: length of AR part
  • weight: the weight function
  • degree: the degree of local polynomial
  • start_bws: the starting values bandwith
  • start_x: the starting values for weight function
  • start_ar: the starting values for AR part. Should be the same length as p
  • method: a method passed to optim , defaults to Nelder-Mead
  • ...: additional parameters to optim

Returns

an object similar to midas_r object

Author(s)

Virmantas Kvedaras, Vaidotas Zemlys

  • Maintainer: Vaidotas Zemlys-Balevičius
  • License: GPL-2 | MIT + file LICENCE
  • Last published: 2021-02-23