Description: Functions for time series preprocessing, decomposition, prediction and accuracy assessment using automatic linear modelling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Imports: forecast, KFAS, stats, MuMIn, EMD, wavelets, vars

Description: Functions for time series preprocessing(postprocessing), decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Imports: forecast, KFAS, stats, MuMIn, EMD, wavelets, vars,
ModelMetrics, RSNNS, Rlibeemd, e1071, elmNNRcpp, nnet,

Description: Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
randomForest, magrittr, plyr, methods, dplyr, keras, tfdatasets

Title: Time Series Segmentation of Residual Trends
Authors@R: person("Arden", "Burrell", email = "arden.burrell@unsw.edu.au", role = c("aut", "cre"))
To perform the Time Series Segmented Residual Trend (TSS-RESTREND) method.
The full details are available in (Burrell et al. 2016???? To be updated after the paper is published).
Imports: stats, graphics, utils, bfast (>= 1.5.7), broom, strucchange,

Description: Time Series Segmented Residual Trends is a method for the automated detection
of land degradation from remotely sensed vegetation and climate datasets.
TSS-RESTREND incorporates aspects of two existing degradation detection methods:
RESTREND which is used to control for climate variability, and BFAST which
is used to look for structural changes in the ecosystem. The full details
of the testing and justification of the TSS-RESTREND method (version 0.1.02)
The changes to the method introduced in version 0.2.03 focus on the inclusion
of temperature as an additional climate variable. This allows for land
degradation assessment in temperature limited drylands. A paper that details
this work is currently under review. There are also a number of bug fixes
and speed improvements. The version under active development and additional
example scripts can be can be found at <https://