Package: bfast 1.7.0

Dainius Masiliunas

bfast: Breaks for Additive Season and Trend

Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different models can now be used to fit the time series data and detect structural changes (breaks).

Authors:Jan Verbesselt [aut], Dainius Masiliunas [aut, cre], Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [aut], Martin Jung [ctb], Andrei Mirt [ctb], Paulo Negri Bernardino [ctb], Dongdong Kong [ctb]

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Bug tracker:https://github.com/bfast2/bfast/issues

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12 exports 41 stars 3.37 score 49 dependencies 1 dependents 4 mentions 171 scripts 1.5k downloads

Last updated 6 months agofrom:829c498fae. Checks:OK: 7 NOTE: 2. Indexed: yes.

Exports:bfastbfast01bfast01classifybfast0nbfastlitebfastmonitorbfastppbfasttscreate16daytsset_default_optionsset_fallback_optionsset_fast_options

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangsandwichscalesstrucchangeRcpptibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo