locreg_ts: Make forecasts using locally weighted regression

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

Description

locreg_ts fits a locally weighted regression using locfit. It first searches over a parameter space of nearest neighbors bandwidth, and polynomial degree, and then uses the best solution

Usage

locreg_ts(timeseries, num_ahead = 5, level = 95, nn = seq(from = 0.2,
  to = 3, by = 0.05), deg = 1:3)

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.
nn	Nearest neighbor component of the smoothing parameter. Default value is 0.7, unless either h or adpen are provided, in which case the default is 0.
deg	Degree of polynomial to use.

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)

weecology/MATSS-forecasting documentation built on Nov. 28, 2020, 10:19 a.m.