ts_trend_season: Trend and Season Model

View source: R/ts_trend_season.R

ts_trend_seasonR Documentation

Trend and Season Model

Description

Estimate a trend and season model from a ts_data object.

Usage

ts_trend_season(ts, trend = NULL, season = NULL)

ts_ts(ts, trend = NULL, season = NULL)

Arguments

ts

ts_data object

trend

numeric or logical: if trend is TRUE then a linear trend will be estimated, otherwise an exponential trend. If trend is numeric this is considered as trend value

season

numeric or logical

Value

Returns an extended ts_data object with the following list of elements:

  • t the time points

  • s the season for the time points

  • xt the time series values

  • trend the fitted trend values

  • trend.coeff the trend coefficients

  • trend.linear the trend type, if NA then it is unknown

  • season the fitted season values

  • season.t the fitted season values for the time series

  • trend.season the fitted values for trend and season

  • trend.linear the trend type, if NA then it is unknown

  • var the variance of the residuals

  • r.square the R^2 of the final model

Examples

ts <- ts_data(12, trend.coeff= c(sample(0:10, 1), sample(1+(1:10)/20, 1)))
ts_trend_season(ts)

exams.forge documentation built on Sept. 11, 2024, 5:32 p.m.