ens.forecast: Ensembled forecast

In jdanielnd/mangaba-r: Provides an enseble forecast function

Description

Generate ensembled forecast

Usage

ens.forecast(x, start, frequency, level)

Arguments

x	vector of time series data
start	start date of the time series
frequency	time series frequency
level	confidence level for forecast

Value

upper	Upper forecast band
point	Point forecast
lower	Lower forecast band

Author(s)

Joao Daniel <[e-mail]>

Examples

  x = (1:12)*100 + rnorm(12)*100
  start = c(2010,1)
  ens.forecast(x, start, 12, 95)

jdanielnd/mangaba-r documentation built on May 18, 2019, 10:26 p.m.