trendchange: Innovative Trend Analysis and Time-Series Change Point Analysis

Innovative Trend Analysis is a graphical method to examine the trends in time series data. Sequential Mann-Kendall test uses the intersection of prograde and retrograde series to indicate the possible change point in time series data. Distribution free cumulative sum charts indicate ___location and significance of the change point in time series. Zekai, S. (2011). <doi:10.1061/(ASCE)HE.1943-5584.0000556>. Grayson, R. B. et al. (1996). Hydrological Recipes: Estimation Techniques in Australian Hydrology. Cooperative Research Centre for Catchment Hydrology, Australia, p. 125. Sneyers, S. (1990). On the statistical analysis of series of observations. Technical note no 5 143, WMO No 725 415. Secretariat of the World Meteorological Organization, Geneva, 192 pp.

Version: 1.2
Depends: R (≥ 2.10)
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, covr
Published: 2022-01-08
DOI: 10.32614/CRAN.package.trendchange
Author: Sandeep Kumar Patakamuri ORCID iD [aut, cre], Bappa Das ORCID iD [aut, ctb]
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: trendchange results

Documentation:

Reference manual: trendchange.html , trendchange.pdf

Downloads:

Package source: trendchange_1.2.tar.gz
Windows binaries: r-devel: trendchange_1.2.zip, r-release: trendchange_1.2.zip, r-oldrel: trendchange_1.2.zip
macOS binaries: r-release (arm64): trendchange_1.2.tgz, r-oldrel (arm64): trendchange_1.2.tgz, r-release (x86_64): trendchange_1.2.tgz, r-oldrel (x86_64): trendchange_1.2.tgz
Old sources: trendchange archive

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