Learn R Programming

midasr (version 0.6)

plot_midas_coef: Plot MIDAS coefficients

Description

Plots MIDAS coefficients of a MIDAS regression for a selected term.

Usage

plot_midas_coef(x, term_name = NULL, title = NULL, vcov. = sandwich,
  unrestricted = x$unrestricted, ...)

Arguments

x

midas_r object

term_name

the term name for which the coefficients are plotted. Default is NULL, which selects the first MIDAS term

title

the title string of the graph. The default is NULL for the default title.

vcov.

the covariance matrix to calculate the standard deviation of the cofficients

unrestricted

the unrestricted model, the default is unrestricted model from the x object. Set NULL to plot only the weights.

...

additional arguments passed to vcov.

Value

a data frame with restricted MIDAS coefficients, unrestricted MIDAS coefficients and lower and upper confidence interval limits. The data frame is returned invisibly.

Details

Plots MIDAS coefficients of a selected MIDAS regression term together with corresponding MIDAS coefficients and their confidence intervals of unrestricted MIDAS regression

Examples

Run this code
# NOT RUN {
data("USrealgdp")
data("USunempr")

y <- diff(log(USrealgdp))
x <- window(diff(USunempr), start = 1949)
trend <- 1:length(y)

##24 high frequency lags of x included
mr <- midas_r(y ~ trend + fmls(x, 23, 12, nealmon), start = list(x = rep(0, 3)))

plot_midas_coef(mr)
# }

Run the code above in your browser using DataLab