rwrf: Random walk (with drift) resampling-based forecast
In twolodzko/boots: Nonparametric Bootstrap/Resampling-Based Time-Series Forecasting
Description
Random walk (with drift) resampling-based forecast
Usage
1
Arguments
x
a numeric vector or time series
h
number of periods for forecasting
R
number of bootstrap replications
level
confidence levels for prediction intervals
lambda
Box-Cox transformation parameter. Ignored
if NULL. Otherwise, forecasts
back-transformed via an inverse Box-Cox
transformation
twolodzko/boots documentation built on May 3, 2019, 1:51 p.m.
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Description
Random walk (with drift) resampling-based forecast
Usage
1 |
Arguments
x |
a numeric vector or time series |
h |
number of periods for forecasting |
R |
number of bootstrap replications |
level |
confidence levels for prediction intervals |
lambda |
Box-Cox transformation parameter. Ignored
if |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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