midasr (version 0.9)

coef.midas_r: Extract coefficients of MIDAS regression

Description

Extracts various coefficients of MIDAS regression

Usage

# S3 method for midas_r
coef(object, midas = FALSE, term_names = NULL, ...)

Value

a vector with coefficients

Arguments

object

midas_r object

midas

logical, if TRUE, MIDAS coefficients are returned, if FALSE (default), coefficients of NLS problem are returned

term_names

a character vector with term names. Default is NULL, which means that coefficients of all the terms are returned

...

not used currently

Author

Vaidotas Zemlys

Details

MIDAS regression has two sets of cofficients. The first set is the coefficients associated with the parameters of weight functions associated with MIDAS regression terms. These are the coefficients of the NLS problem associated with MIDAS regression. The second is the coefficients of the linear model, i.e the values of weight functions of terms, or so called MIDAS coefficients. By default the function returns the first set of the coefficients.

Examples

#Simulate MIDAS regression
n<-250
trend<-c(1:n)
x<-rnorm(4*n)
z<-rnorm(12*n)
fn.x <- nealmon(p=c(1,-0.5),d=8)
fn.z <- nealmon(p=c(2,0.5,-0.1),d=17)
y<-2+0.1*trend+mls(x,0:7,4)%*%fn.x+mls(z,0:16,12)%*%fn.z+rnorm(n)
eqr<-midas_r(y ~ trend + mls(x, 0:7, 4, nealmon) +
             mls(z, 0:16, 12, nealmon),
             start = list(x = c(1, -0.5), z = c(2, 0.5, -0.1)))

coef(eqr)
coef(eqr, term_names = "x")
coef(eqr, midas = TRUE)
coef(eqr, midas = TRUE, term_names = "x")