midas_pl_plain function

MIDAS Partialy linear non-parametric regression

MIDAS Partialy linear non-parametric regression

Function for fitting PL MIDAS regression without the formula interface

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

Arguments

  • y: model response
  • X: prepared matrix of high frequency variable lags for MMM term
  • z: a vector, data for the non-parametric part
  • 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
  • ...: 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