FCVAR (version 0.1.4)

plot.FCVAR_grid: Plot the Likelihood Function for the FCVAR Model

Description

plot.FCVAR_grid plots the likelihood function from FCVARlikeGrid. FCVARlikeGrid performs a grid-search optimization by calculating the likelihood function on a grid of candidate parameter values. This function evaluates the likelihood over a grid of values for c(d,b) (or phi, when there are constraints on c(d,b)). It can be used when parameter estimates are sensitive to starting values to give an approximation of the global max which can then be used as the starting value in the numerical optimization in FCVARestn.

Usage

# S3 method for FCVAR_grid
plot(x, y = NULL, ...)

Arguments

x

An S3 object of type FCVAR_grid output from FCVARlikeGrid.

y

An argument for generic method plot that is not used in plot.FCVAR_grid.

...

Arguments to be passed to methods, such as graphical parameters for the generic plot function.

See Also

FCVARoptions to set default estimation options. plot.FCVAR_grid plots the likelihood function from FCVARlikeGrid.

Other FCVAR auxiliary functions: FCVARforecast(), FCVARlikeGrid(), FCVARsimBS(), FCVARsim(), FracDiff()

Examples

# NOT RUN {
opt <- FCVARoptions()
opt$dbStep1D     <- 0.1 # Coarser grid for plotting example.
opt$dbStep2D     <- 0.2 # Coarser grid for plotting example.
opt$gridSearch   <- 0 # Disable grid search in optimization.
opt$dbMin        <- c(0.01, 0.01) # Set lower bound for d,b.
opt$dbMax        <- c(2.00, 2.00) # Set upper bound for d,b.
opt$constrained  <- 0 # Impose restriction dbMax >= d >= b >= dbMin ? 1 <- yes, 0 <- no.
x <- votingJNP2014[, c("lib", "ir_can", "un_can")]
opt$progress <- 2 # Show progress report on each value of b.
likeGrid_params <- FCVARlikeGrid(x, k = 2, r = 1, opt)
graphics::plot(likeGrid_params)
# }