Package: DBEST 1.8

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.

Authors:Sadegh Jamali, Hristo Tomov

DBEST_1.8.tar.gz
DBEST_1.8.zip(r-4.5)DBEST_1.8.zip(r-4.4)DBEST_1.8.zip(r-4.3)
DBEST_1.8.tgz(r-4.5-any)DBEST_1.8.tgz(r-4.4-any)DBEST_1.8.tgz(r-4.3-any)
DBEST_1.8.tar.gz(r-4.5-noble)DBEST_1.8.tar.gz(r-4.4-noble)
DBEST_1.8.tgz(r-4.4-emscripten)DBEST_1.8.tgz(r-4.3-emscripten)
DBEST.pdf |DBEST.html
DBEST/json (API)

# Install 'DBEST' in R:
install.packages('DBEST', repos = c('https://hristotomov.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 5 stars 10 scripts 353 downloads 3 mentions 1 exports 2 dependencies

Last updated 7 years agofrom:fcf5aa4ee5. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-winOKMar 12 2025
R-4.5-macOKMar 12 2025
R-4.5-linuxOKMar 12 2025
R-4.4-winOKMar 12 2025
R-4.4-macOKMar 12 2025
R-4.4-linuxOKMar 12 2025
R-4.3-winOKMar 12 2025
R-4.3-macOKMar 12 2025

Exports:DBEST

Dependencies:latticezoo