forecastHybrid - Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(), thetaf(), nnetar(), stlm(), tbats(), snaive() and arfima() can be combined with equal weights, weights based on in-sample errors (introduced by Bates & Granger (1969) <doi:10.1057/jors.1969.103>), or cross-validated weights. Cross validation for time series data with user-supplied models and forecasting functions is also supported to evaluate model accuracy.
Last updated 2 years ago
9.07 score 80 stars 1 packages 121 scripts 3.4k downloadsggseas - 'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
Provides 'ggplot2' 'stats' that estimate seasonally adjusted series and rolling summaries such as rolling average on the fly for time series.
Last updated 6 years ago
6.67 score 74 stars 127 scripts 415 downloadsTcomp - Data from the 2010 Tourism Forecasting Competition
The 1311 time series from the tourism forecasting competition conducted in 2010 and described in Athanasopoulos et al. (2011) <DOI:10.1016/j.ijforecast.2010.04.009>.
Last updated 6 years ago
5.52 score 5 stars 1 packages 44 scripts 164 downloadsnzelect - New Zealand Election Data
Convenient access to New Zealand election results by voting place. Voting places have been matched to Regional Council, Territorial Authority, and Area Unit, to facilitate matching with additional data. Opinion polls since 2002 and some convenience analytical function are also supplied.
Last updated 7 years ago
2.85 score 70 scripts 181 downloads