Other packages > Find by keyword >

trendchange  

Innovative Trend Analysis and Time-Series Change Point Analysis
View on CRAN: Click here


Download and install trendchange package within the R console
Install from CRAN:
install.packages("trendchange")

Install from Github:
library("remotes")
install_github("cran/trendchange")

Install by package version:
library("remotes")
install_version("trendchange", "1.2")



Attach the package and use:
library("trendchange")
Maintained by
Sandeep Kumar Patakamuri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-20
Latest Update: 2022-01-08
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.
How to cite:
Sandeep Kumar Patakamuri (2019). trendchange: Innovative Trend Analysis and Time-Series Change Point Analysis. R package version 1.2, https://cran.r-project.org/web/packages/trendchange. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-01-20 17:10), 1.1 (2019-11-26 18:40)
Other packages that cited trendchange R package
View trendchange citation profile
Other R packages that trendchange depends, imports, suggests or enhances
Complete documentation for trendchange
Functions, R codes and Examples using the trendchange R package
Some associated functions: df . dfcusum . innovtrend . ipta . sqmk . x . 
Some associated R codes: data.R . dfcusum.R . exampledf.R . innovtrend.R . ipta.R . sqmk.R .  Full trendchange package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA