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).

Version: 1.6.1
Depends: R (≥ 3.0.0), strucchangeRcpp
Imports: graphics, stats, zoo, forecast, Rcpp (≥ 0.12.7), Rdpack (≥ 0.7)
LinkingTo: Rcpp
Suggests: MASS, sfsmisc, stlplus, raster
Published: 2021-05-10
Author: Jan Verbesselt [aut], Dainius Masiliunas ORCID iD [aut, cre], Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [aut], Martin Jung [ctb], Andrei Mirt ORCID iD [ctb], Paulo Negri Bernardino [ctb], Dongdong Kong ORCID iD [ctb]
Maintainer: Dainius Masiliunas <pastas4 at gmail.com>
BugReports: https://github.com/bfast2/bfast/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://bfast2.github.io/
NeedsCompilation: yes
Citation: bfast citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: bfast results

Downloads:

Reference manual: bfast.pdf
Package source: bfast_1.6.1.tar.gz
Windows binaries: r-devel: bfast_1.6.1.zip, r-devel-UCRT: bfast_1.6.1.zip, r-release: bfast_1.6.1.zip, r-oldrel: bfast_1.6.1.zip
macOS binaries: r-release (arm64): bfast_1.6.1.tgz, r-release (x86_64): bfast_1.6.1.tgz, r-oldrel: bfast_1.6.1.tgz
Old sources: bfast archive

Reverse dependencies:

Reverse imports: TSS.RESTREND
Reverse suggests: Rwtss, strucchangeRcpp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bfast to link to this page.