BootPR (version 0.60)

BootPI: Bootstrap prediction intevals and point forecasts with no bias-correction

Description

This function returns bootstrap forecasts and prediction intervals with no bias-correction

Usage

BootPI(x, p, h, nboot, prob, type)

Arguments

x
a time series data set
p
AR order
h
the number of forecast periods
nboot
number of bootstrap iterations
prob
a vector of probabilities
type
"const" for the AR model with intercept only, "const+trend" for the AR model with intercept and trend

Value

PI
prediction intervals
forecast
bias-corrected point forecasts

References

Thombs, L. A., & Schucany, W. R. (1990). Bootstrap prediction intervals for autoregression. Journal of the American Statistical Association, 85, 486-492.

Examples

Run this code
data(IPdata)
BootPI(IPdata,p=1,h=10,nboot=100,prob=c(0.05,0.95),type="const+trend")

Run the code above in your browser using DataCamp Workspace