Package: trendchange 1.2

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.

Authors:Sandeep Kumar Patakamuri [aut, cre], Bappa Das [aut, ctb]

trendchange_1.2.tar.gz
trendchange_1.2.zip(r-4.5)trendchange_1.2.zip(r-4.4)trendchange_1.2.zip(r-4.3)
trendchange_1.2.tgz(r-4.4-any)trendchange_1.2.tgz(r-4.3-any)
trendchange_1.2.tar.gz(r-4.5-noble)trendchange_1.2.tar.gz(r-4.4-noble)
trendchange_1.2.tgz(r-4.4-emscripten)trendchange_1.2.tgz(r-4.3-emscripten)
trendchange.pdf |trendchange.html
trendchange/json (API)

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

Peer review:

Bug tracker:https://github.com/patakamuri/trendchange/issues

Datasets:
  • df - Example Data Frame for Innovative Polygon Trend Analysis
  • x - Annual flow of the Nile River

On CRAN:

4 exports 4 stars 1.03 score 0 dependencies 5 scripts 318 downloads

Last updated 3 years agofrom:b78a1cad9a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:dfcusuminnovtrendiptasqmk

Dependencies: