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EnvCpt  

Detection of Structural Changes in Climate and Environment Time Series
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EnvCpt", "1.1.3")



Attach the package and use:
library("EnvCpt")
Maintained by
Rebecca Killick
[Scholar Profile | Author Map]
First Published: 2016-10-13
Latest Update: 2021-03-29
Description:
Tools for automatic model selection and diagnostics for Climate and Environmental data. In particular the envcpt() function does automatic model selection between a variety of trend, changepoint and autocorrelation models. The envcpt() function should be your first port of call.
How to cite:
Rebecca Killick (2016). EnvCpt: Detection of Structural Changes in Climate and Environment Time Series. R package version 1.1.3, https://cran.r-project.org/web/packages/EnvCpt. Accessed 10 Jan. 2025.
Previous versions and publish date:
0.1.1 (2016-10-13 20:36), 1.0 (2018-01-18 15:46), 1.1.1 (2018-09-13 16:50), 1.1.2 (2020-06-21 06:10), 1.1 (2018-09-11 23:30)
Other packages that cited EnvCpt R package
View EnvCpt citation profile
Other R packages that EnvCpt depends, imports, suggests or enhances
Complete documentation for EnvCpt
Functions, R codes and Examples using the EnvCpt R package
Some associated functions: AIC . AICweights . envcpt-package . envcpt . plot.envcpt . 
Some associated R codes: CptReg.R . diagnostics.R . envcpt.R . zzz.R .  Full EnvCpt package functions and examples
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