ets_ts: Exponentially smoothed time series model

In ha0ye/MATSS-forecasting: Analysis and Synthesis of Forecasting Ecological Time Series

Description

Fit a time series model using ets and make forecasts. The frequency of the data is set a priori, as opposed to estimating the parameter from the data.

ets_one_step uses ets to fit an exponential-smoothing time series model and make a single one-step forecast.

Usage

ets_ts(timeseries, num_ahead = 5, level = 95, frequency = 1)

ets_one_step(timeseries, level = 95)

Arguments

timeseries	the time series to forecast
num_ahead	the number of points at the end of the time series to forecast
level	Confidence level for prediction intervals.
frequency	the number of observations per unit of time.

Value

a data.frame of the mean forecasts, the observed values, and the lower and upper CI levels (if an error occurs, then just NA values)

ha0ye/MATSS-forecasting documentation built on Nov. 28, 2020, 10:16 a.m.