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iAR  

Irregularly Observed Autoregressive Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iAR", "1.2.0")



Attach the package and use:
library("iAR")
Maintained by
Elorrieta Felipe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-15
Latest Update: 2022-11-24
Description:
Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) ), the complex irregular autoregressive model (Elorrieta et al.(2019) ) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) ).
How to cite:
Elorrieta Felipe (2021). iAR: Irregularly Observed Autoregressive Models. R package version 1.2.0, https://cran.r-project.org/web/packages/iAR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-04-15 13:30), 1.0.1 (2022-04-20 02:02), 1.0 (2022-04-02 14:20), 1.1.0 (2022-07-12 01:10)
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