ForeCA R package
ForeCA implements Forecastable component analysis in R. For details on algorithm & methodology see Forecastable Component Analysis, JMLR, Goerg (2013).
In a nutshell: ForeCA finds linear combinations of multivariate time series that are most forecastable, where forecastability is measured by the spectral entropy of the resulting signal (linear combination of input).
Installation
UPDATE: As of 2020-06-09 ForeCA has been removed from CRAN, because
the ifultools / sapa dependecies are no longer maintained. I am working
on an update to ForeCA to not rely on these packages, but only rely on astsa
for multivariate specturm estimation. See NEWS.md for details.
In the meantime you can install the ForeCA package directly from github as
library(devtools)
devtools::install_github("gmgeorg/ForeCA")Temporarily not working
You can install the stable version on CRAN:
install.packages('ForeCA')Usage
The workhorse function is ForeCA::foreca() which works just like the built-in princomp function for PCA.
library(ForeCA)
citation("ForeCA")For a tutorial on how to use foreca() and the entire ForeCA suite of functions see the introductory vignette on CRAN.
References
ForeCA references & applications in the literature (non-exhaustive; see here for full list of ForeCA citations)
- Very interesting application of ForeCA to historical time series data of temperature/climate to extract predictable climate signals. Fischer, Matt. (2016). Predictable components in global speleothem δ18O. Quaternary Science Reviews. 131. 380-392. 10.1016/j.quascirev.2015.03.024.
- ForeCA's forecastability measure, spectral entropy of a time series, can be useful as a feature to characterize/visualize/predict performance of different algorithms applied to a set of time series. Kang, Yanfei & Hyndman, Rob & Smith-Miles, Kate. (2017). Visualising forecasting algorithm performance using time series instance spaces. International Journal of Forecasting. 33. 345-358. 10.1016/j.ijforecast.2016.09.004.
Cross-validated & SO posts (non-exhaustive)
Blog posts (by others)
- Stock Forecasting with Machine Learning - Are Stock Prices Predictable? (2016/04/20)
- Are stocks predictable? (2014/02/20)