fDMA (version 2.2.8)

grid.roll.reg: Computes roll.reg Function for Multiple Values of window.

Description

Sometimes it is necessary to consider various values of parameter window in Rolling Regression. This function computes roll.reg function for all values of window for a given grid.

This function is a wrapper of roll.reg.

Usage

grid.roll.reg(y,x=NULL,grid.window,parallel.grid=NULL,c=NULL)

Value

an object of class grid.roll.reg, list of

$models

list of reg objects

$fq

matrix with Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) for all estimated models

Arguments

y

see roll.reg

x

see roll.reg

grid.window

a numeric vector of different values of window, see roll.reg

parallel.grid

optional, logical, indicate whether parallel computations should be used, by default parallel=FALSE

c

optional, see roll.reg

See Also

print.grid.roll.reg, summary.grid.roll.reg, plot.grid.roll.reg.

Examples

wti <- crudeoil[-1,1]
drivers <- (lag(crudeoil[,-1],k=1))[-1,]
ld.wti <- (diff(log(wti)))[-1,]
ld.drivers <- drivers[-1,]
ld.drivers[,c(4,6)] <- (diff(drivers[,c(4,6)]))[-1,]
ld.drivers[,c(1:2,5,7)] <- (diff(log(drivers[,c(1:2,5,7)])))[-1,]
ld.drivers[,c(3,6)] <- ld.drivers[,c(3,6)]/100
# \donttest{
grw <- c(50,100,150)
g <- grid.roll.reg(y=ld.wti,x=ld.drivers,grid.window=grw)

# extract model with window=100
model <- g$models[[2]]
# }