Periodically Correlated and Periodically Integrated Time Series
Class PeriodicBJFilter
Class PeriodicFilterModel
Class PeriodicIntegratedArmaSpec
Class PeriodicInterceptSpec
Class PeriodicMaModel
Class "PeriodicMTS"
Class "PeriodicMTS_ts"
Class "PeriodicMTS_zooreg"
Class PeriodicSPFilter
Class PeriodicTimeSeries
Class "PeriodicTS"
Class "PeriodicTS_ts"
Class "PeriodicTS_zooreg"
Class PeriodicVector
Convert between periodic centering and intercepts
Compute the multi-companion form of a per model
Convert PIAR coefficients to PAR coefficients
Class PiPeriodicArmaModel
Class PiPeriodicArModel
Class PiPeriodicMaModel
Class SamplePeriodicAutocorrelations
Class SamplePeriodicAutocovariances
Methods for seqSeasons() in package pcts
Methods for sigmaSq
in package pcts
Create a random periodic autocovariance function
Generate a periodic autoregression model
Simulate periodically correlated ARMA series
Simulate periodic white noise
function to compute estimates of the h weights
Functions for work with a simple list specification of pcarma models
McLeod-Ljung-Box test for periodic white noise
McLeod's test for periodic autocorrelation
Variances of sample periodic autocorrelations
Compute normalising factors
Get names of seasons
Replace methods for as_date in package pcts
Methods for as_datetime in package pcts
Compute autocorrelations and periodic autocorrelations
Compute autocovariances and periodic autocovariances
Time of first or last non-NA value
Compute periodic backward partial coefficients
Compute periodic backward partial variances
Class BareCycle
Class BasicCycle
Class "BuiltinCycle"
and its subclasses in package 'pcts'
Class "Cyclic"
Create objects from class Cyclic
Replace methods for date in package pcts
Get the coefficients of a periodic filter
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Fit a subset trigonometric PAR model
Fit periodic time series models
Class FittedPeriodicArmaModel
Class FittedPeriodicArModel
Methods for function head() in package pcts
Class LegacyPeriodicFilterModel
Methods for function maxLag() in package 'pcts'
Create environment for mc-fitting
Class mcOptimCore
Asymptotic covariance matrix of periodic mean
Get the cycle of a periodic object
Class ModelCycleSpec
Basic information about periodic ts objects
Number of seasons of a periodic object
Number of observations in a time series
Fit PAR model using sample autocorrelations
Compute asymptotic covariance matrix for PAR model
Compute periodic partial autocorrelations
Compute periodic partial autocovariances
Compute periodic partial coefficients
Class PartialCycle
Class PartialPeriodicAutocorrelations
Compute periodic partial variances
Fit a PC-ARMA model to a periodic autocovariance function
Applies a periodic ARMA filter to a time series
Filter time series with periodic arma filters
Compute PAR autocovariance matrix
Periodic Levinson-Durbin algorithm
Give partial periodic autocorrelations or other partial prediction qua...
Apply a function to each season
Compute the sum of squares for a given PAR model
Compute periodic autocorrelations from PAR coefficients
Functions to compute various characteristics of a PCARMA model
Create or extract Cycle objects
Fit PAR models using least squares
Fit a periodically integrated autoregressive model
Compute periodic mean
Plot periodic time series
Test for periodicity
Convert between Pctime and datetime objects
Deprecated Functions and classes in Package pcts
Create objects from periodic time series classes
pd <- packageDescription("pcts") lb <- library(help="pcts", characte...
Periodic time series objects for examples
Objects exported from other packages
Functions for some basic operations with seasons
Class "PeriodicArmaFilter"
Class PeriodicArmaModel
Class PeriodicArmaSpec
Class PeriodicArModel
Create objects from class PeriodicArModel
Class PeriodicAutocorrelations
Class PeriodicAutocovariances
Class SimpleCycle
Class SiPeriodicArmaModel
Class SiPeriodicArModel
Class SiPeriodicMaModel
Functions for some basic operations with seasons
Class SLTypeMatrix
Class SubsetPM
Methods for function tail() in package pcts
Test for periodic integration
Methods for unitCycle
and unitSeason
in package pcts
Methods for unitCycle<-
and unitSeason<-
in package pcts
Core data of periodic time series
Class VirtualPeriodicArmaModel
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Periodic methods for base R functions
Class zoo made S4
Virtual S4 class zooreg
Indexing of objects from classes in package pcts
Index assignments for objects from classes in package pcts
Methods for function[[
in package 'pcts'
Methods for function$
in package 'pcts'
Classes and methods for modelling and simulation of periodically correlated (PC) and periodically integrated time series. Compute theoretical periodic autocovariances and related properties of PC autoregressive moving average models. Some original methods including Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>, Boshnakov (1996) <doi:10.1111/j.1467-9892.1996.tb00281.x>.