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trendchange

The package is useful in implementing

  • Innovative Trend Analysis test.
  • Innovative Polygon Trend Analysis test.
  • Sequential Mann-Kendall test.
  • Distribution free CUSUM test.

As per Zekai Sen (2011) method, if the data points lay on 1:1 line, there is no trend in the data. If the data points exist in the top triangle, it is indicative of positive trend. If the data lies in the bottom triangle, it indicates negative trend in the data.

In Sequential Mann-Kendall test, the series is rearranged based on the ranks of the original series. Prograde and retrograde series plots are generated as per Sneyers (1990). The point where prograde and retrograde series intersect will approximately indicate the possible point of change. When there is no clear trend in the data, the series will intersect at several locations.

Disribution free CUSUM test is used to identify the change point in a series of data. The point at which Maximum value of cumulative sum occurs, will indicate the change point in the time series. If the maximum value is equal to or greater than the critical value, it indicates significantce of the change point.

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Version

Install

install.packages('trendchange')

Monthly Downloads

294

Version

1.2

License

GPL-3

Maintainer

Sandeep Kumar Patakamuri

Last Published

January 8th, 2022

Functions in trendchange (1.2)

dfcusum

Distribution Free CUSUM Test
df

Example Data Frame for Innovative Polygon Trend Analysis
sqmk

Sequential Mann-Kendall Plot
x

Annual flow of the Nile River
innovtrend

Innovative Trend Analysis
ipta

Innovative Polygon Trend Analysis