bfast: BFAST: Breaks For Additive Seasonal and Trend

BFAST integrates the 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.

Version: 1.2-1
Depends: R (≥ 2.0.0), strucchange, MASS, forecast
Published: 2011-04-24
Author: Jan Verbesselt, with contributions from Rob Hyndman
Maintainer: Jan Verbesselt <Jan.Verbesselt at wur.nl>
License: GPL (≥ 2)
URL: http://bfast.R-Forge.R-project.org/
Citation: bfast citation info
CRAN checks: bfast results

Downloads:

Package source: bfast_1.2-1.tar.gz
MacOS X binary: bfast_1.2-1.tgz
Windows binary: bfast_1.2-1.zip
Reference manual: bfast.pdf
Old sources: bfast archive

Reverse dependencies:

Reverse depends: ndvits