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starma  

Modelling Space Time AutoRegressive Moving Average (STARMA) Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("starma", "1.3")



Attach the package and use:
library("starma")
Maintained by
Felix Cheysson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-05
Latest Update: 2016-02-11
Description:
Statistical functions to identify, estimate and diagnose a Space-Time AutoRegressive Moving Average (STARMA) model.
How to cite:
Felix Cheysson (2015). starma: Modelling Space Time AutoRegressive Moving Average (STARMA) Processes. R package version 1.3, https://cran.r-project.org/web/packages/starma. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 1.1 (2015-10-05 17:07), 1.2 (2015-11-12 19:00)
Other packages that cited starma R package
View starma citation profile
Other R packages that starma depends, imports, suggests or enhances
Complete documentation for starma
Functions, R codes and Examples using the starma R package
Some associated functions: nb_mat . stacf . starma-internal . starma-package . starma . stcenter . stcor.test . stcov . stplot . summary.starma . 
Some associated R codes: RcppExports.R . stacf.R . starma.R . stcenter.R . stcor.test.R . stcov.R . stpacf.R . stplot.R . summary.starma.R .  Full starma package functions and examples
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