perARMA: Periodic Time Series Analysis

Identification, model fitting and estimation for time series with periodic structure. Additionally procedures for simulation of periodic processes and real data sets are included.

Install the latest version of this package by entering the following in R:
install.packages("perARMA")
AuthorAnna Dudek, Harry Hurd and Wioletta Wojtowicz
Date of publication2016-02-25 22:49:40
MaintainerWioletta Wojtowicz <wioletta.wojtowicz26@gmail.com>
LicenseGPL (>= 2.0)
Version1.6

View on CRAN

Functions

ab2phth Man page
acfpacf Man page
acfpacf.acf Man page
acfpacf.pacf Man page
arosa Man page
Bcoeff Man page
Bcoeffa Man page
loglikec Man page
loglikef Man page
makepar Man page
makeparma Man page
parmaf Man page
parmafil Man page
parma_ident Man page
parmaresid Man page
peracf Man page
perARMA Man page
perARMA-package Man page
permest Man page
perpacf Man page
persigest Man page
perYW Man page
pgram Man page
phth2ab Man page
ppfcoeffab Man page
ppfplot Man page
predictperYW Man page
predseries Man page
R_w_ma Man page
scoh Man page
volumes Man page
volumes.sep Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.