Package: trendchange
Title: Innovative Trend Analysis and Time-Series Change Point Analysis
Version: 1.2
Authors@R: c(person("Sandeep Kumar", "Patakamuri", 
            email = "sandeep.patakamuri@gmail.com", 
            role = c("aut", "cre"),
            comment = c(ORCID = "0000-0001-8965-8287")),
            person("Bappa", "Das", 
            email = "bappa.das@icar.gov.in", 
            role = c("aut", "ctb"),
            comment = c(ORCID = "0000-0003-1286-1492")))
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Suggests: testthat, knitr, rmarkdown,covr
NeedsCompilation: no
Depends: R (>= 2.10)
LazyData: true
Repository: https://patakamuri.r-universe.dev
Date/Publication: 2022-01-03 19:43:20 UTC
RemoteUrl: https://github.com/patakamuri/trendchange
RemoteRef: HEAD
RemoteSha: b78a1cad9af7d992ed8fbaf60d15938e828793a4
Packaged: 2026-07-21 05:09:32 UTC; root
Author: Sandeep Kumar Patakamuri [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8965-8287>),
  Bappa Das [aut, ctb] (ORCID: <https://orcid.org/0000-0003-1286-1492>)