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perARMA  

Periodic Time Series Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("perARMA", "1.7")



Attach the package and use:
library("perARMA")
Maintained by
Karolina Marek
[Scholar Profile | Author Map]
First Published: 2013-01-10
Latest Update: 2023-11-17
Description:
Identification, model fitting and estimation for time series with periodic structure. Additionally, procedures for simulation of periodic processes and real data sets are included. Hurd, H. L., Miamee, A. G. (2007) Box, G. E. P., Jenkins, G. M., Reinsel, G. (1994) Brockwell, P. J., Davis, R. A. (1991, ISBN:978-1-4419-0319-8) Bretz, F., Hothorn, T., Westfall, P. (2010, ISBN: 9780429139543) Westfall, P. H., Young, S. S. (1993, ISBN:978-0-471-55761-6) Bloomfield, P., Hurd, H. L.,Lund, R. (1994) Dehay, D., Hurd, H. L. (1994, ISBN:0-7803-1023-3) Vecchia, A. (1985) Vecchia, A. (1985) Jones, R., Brelsford, W. (1967) Makagon, A. (1999) Sakai, H. (1989) Gladyshev, E. G. (1961) Ansley (1979) Hurd, H. L., Gerr, N. L. (1991) .
How to cite:
Karolina Marek (2013). perARMA: Periodic Time Series Analysis. R package version 1.7, https://cran.r-project.org/web/packages/perARMA. Accessed 01 May. 2025.
Previous versions and publish date:
1.1 (2013-01-10 17:31), 1.2 (2013-01-11 14:21), 1.3 (2013-01-26 19:04), 1.4 (2013-02-26 18:04), 1.5 (2013-03-01 14:57), 1.6 (2016-02-25 22:49)
Other packages that cited perARMA R package
View perARMA citation profile
Other R packages that perARMA depends, imports, suggests or enhances
Complete documentation for perARMA
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