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bfast  

Breaks for Additive Season and Trend
View on CRAN: Click here


Download and install bfast package within the R console
Install from CRAN:
install.packages("bfast")

Install from Github:
library("remotes")
install_github("cran/bfast")

Install by package version:
library("remotes")
install_version("bfast", "1.6.1")



Attach the package and use:
library("bfast")
Maintained by
Dainius Masiliunas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-12-14
Latest Update: 2021-05-10
Description:
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) . 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) . '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).
How to cite:
Dainius Masiliunas (2009). bfast: Breaks for Additive Season and Trend. R package version 1.6.1, https://cran.r-project.org/web/packages/bfast
Previous versions and publish date:
1.1 (2009-12-14 20:58), 1.2-1 (2011-04-24 08:06), 1.2 (2011-02-25 08:40), 1.4.3 (2012-02-17 18:31), 1.4.4 (2013-03-27 08:43), 1.5.7 (2014-08-28 00:00), 1.6.0 (2021-05-03 10:50)
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