DBEST: Detecting Breakpoints and Estimating Segments in Trend

A program for analyzing vegetation time series, with two algorithms: 1) change detection algorithm that detects trend changes, determines their type (abrupt or non-abrupt), and estimates their timing, magnitude, number, and direction; 2) generalization algorithm that simplifies the temporal trend into main features. The user can set the number of major breakpoints or magnitude of greatest changes of interest for detection, and can control the generalization process by setting an additional parameter of generalization-percentage.

Version: 1.6
Imports: graphics, stats, zoo
Published: 2017-05-04
Author: Sadegh Jamali, Hristo Tomov
Maintainer: Hristo Tomov <tomov.hristo at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: DBEST results


Reference manual: DBEST.pdf
Package source: DBEST_1.6.tar.gz
Windows binaries: r-devel: DBEST_1.6.zip, r-release: DBEST_1.6.zip, r-oldrel: DBEST_1.6.zip
OS X El Capitan binaries: r-release: DBEST_1.6.tgz
OS X Mavericks binaries: r-oldrel: DBEST_1.6.tgz
Old sources: DBEST archive


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