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A B C D E F I M N O P Q S T U V X Z misc
| pcts-package | Periodically Correlated and Periodically Integrated Time Series |
| alg1 | Periodic Levinson-Durbin algorithm |
| alg1util | Give partial periodic autocorrelations or other partial prediction quantities for a pcAcvf object. |
| allSeasons | Get names of seasons |
| allSeasons-method | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| allSeasons-method | Get names of seasons |
| allSeasons-methods | Get names of seasons |
| allSeasons<- | Get names of seasons |
| allSeasons<--method | Get names of seasons |
| autocorrelations-method | Compute autocorrelations and periodic autocorrelations |
| autocorrelations-methods | Compute autocorrelations and periodic autocorrelations |
| autocovariances-method | Compute autocovariances and periodic autocovariances |
| autocovariances-methods | Compute autocovariances and periodic autocovariances |
| availEnd | Time of first or last non-NA value |
| availStart | Time of first or last non-NA value |
| BareCycle-class | Class BareCycle |
| BasicCycle-class | Class BasicCycle |
| boxplot.PeriodicTimeSeries | Plot periodic time series |
| BuiltinCycle | Create cycle objects from the builtin cycle classes |
| BuiltinCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| coerce-method | Class '"PeriodicTS"' |
| Cyclic-class | Class '"Cyclic"' |
| dataFranses1996 | Example data from Franses (1996) |
| DayWeekCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| Every30MinutesCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| ex1f | An example PAR autocorrelation function |
| filterCoef-method | Get the coefficients of a periodic filter |
| filterCoef-methods | Get the coefficients of a periodic filter |
| fitPM | Fit periodic time series models |
| fitPM-method | Fit periodic time series models |
| fitPM-methods | Fit periodic time series models |
| FittedPeriodicArModel-class | Class FittedPeriodicArModel |
| FiveDayWeekCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| initialize-method | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| innovationVariances-method | Class PeriodicArmaSpec |
| intercept2permean | Convert between periodic centering and intercepts |
| maxLag-method | Methods for function maxLag() in package 'pcts' |
| maxLag-methods | Methods for function maxLag() in package 'pcts' |
| mC.ss | Create environment for mc-fitting |
| mCpar | Deprecated Functions in Package 'pcts' |
| meancovmat | Asymptotic covariance matrix of periodic mean |
| meanvarcheck | Asymptotic covariance matrix of periodic mean |
| modelCycle | Get the cycle of a periodic object |
| modelCycle-method | Get the cycle of a periodic object |
| modelCycle-methods | Get the cycle of a periodic object |
| modelCycle<- | Get the cycle of a periodic object |
| modelCycle<--method | Get the cycle of a periodic object |
| modelCycle<--methods | Get the cycle of a periodic object |
| ModelCycleSpec-class | Class ModelCycleSpec |
| monthplot.PeriodicTimeSeries | Plot periodic time series |
| MonthYearCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| nCycles | Basic time information about periodic time series |
| nSeasons-method | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| nSeasons-method | Number of seasons for a periodic object |
| nSeasons-methods | Number of seasons for a periodic object |
| nTicks | Basic time information about periodic time series |
| num2pcpar | Fit PAR model using sample autocorrelations |
| nVariables | Basic time information about periodic time series |
| OpenCloseCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| parcovmatlist | Compute asymptotic covariance matrix for PAR model |
| PartialPeriodicAutocorrelations-class | Class PartialPeriodicAutocorrelations |
| pc.acf.parModel | Compute PAR autocovariance matrix |
| pc.armafilter | Applies a periodic ARMA filter to a time series |
| pc.filter | Applies a periodic ARMA filter to a time series |
| pc.filter.xarma | Filter time series with periodic arma filters |
| pc.hat.h | function to compute estimates of the h weights |
| pc.sdfactor | Compute normalising factors |
| pcacfMat | Compute PAR autocovariance matrix |
| pcacf_pwn_var | Variances of sample periodic autocorrelations |
| pcAr.ss | Compute the sum of squares for a given PAR model |
| pcAR2acf | Compute periodic autocorrelations from PAR coefficients |
| pcarma_acvf2model | Fit a PC-ARMA model to a periodic autocovariance function |
| pcarma_acvf_lazy | Functions to compute various characteristics of a PCARMA model |
| pcarma_acvf_system | Functions to compute various characteristics of a PCARMA model |
| pcarma_h | Functions to compute various characteristics of a PCARMA model |
| pcarma_h_lazy | Functions to compute various characteristics of a PCARMA model |
| pcarma_param_system | Functions to compute various characteristics of a PCARMA model |
| pcarma_prepare | Functions for work with a simple list specification of pcarma models |
| pcarma_tovec | Functions for work with a simple list specification of pcarma models |
| pcarma_unvec | Functions for work with a simple list specification of pcarma models |
| pcArray | Core data of periodic time series |
| pcCycle | Create or extract Cycle objects |
| pcCycle-method | Create or extract Cycle objects |
| pcCycle-methods | Create or extract Cycle objects |
| pclsdf | Fit PAR models using least squares |
| pclspiar | Fit a periodically integrated autoregressive model |
| pcMatrix | Core data of periodic time series |
| pcTest | Test for periodicity |
| pcTest-method | Test for periodicity |
| pcTest-methods | Test for periodicity |
| pcts | Create objects from periodic time series classes |
| pcts-deprecated | Deprecated Functions in Package 'pcts' |
| pcts-method | Create objects from periodic time series classes |
| pcts-methods | Create objects from periodic time series classes |
| pctsArray | Core data of periodic time series |
| pdSafeParOrder | Functions for some basic operations with seasons |
| PeriodicArFilter-class | Class '"PeriodicArmaFilter"' |
| PeriodicArmaFilter-class | Class '"PeriodicArmaFilter"' |
| PeriodicArmaModel-class | Class PeriodicArmaModel |
| PeriodicArmaSpec-class | Class PeriodicArmaSpec |
| PeriodicArModel | Create objects from class PeriodicArModel |
| PeriodicArModel-class | Class PeriodicArModel |
| PeriodicArModel-method | Create objects from class PeriodicArModel |
| PeriodicArModel-methods | Create objects from class PeriodicArModel |
| PeriodicAutocorrelations-class | Class PeriodicAutocorrelations |
| PeriodicAutocovarianceModel-class | Class PeriodicAutocovarianceModel |
| PeriodicAutocovariances-class | Class PeriodicAutocovariances |
| PeriodicAutocovarianceSpec-class | Class PeriodicAutocovarianceSpec |
| PeriodicBJFilter-class | Class PeriodicBJFilter |
| PeriodicFilterModel-class | Class PeriodicFilterModel |
| PeriodicIntegratedArmaSpec-class | Class PeriodicIntegratedArmaSpec |
| PeriodicInterceptSpec-class | Class PeriodicInterceptSpec |
| PeriodicMaFilter-class | Class '"PeriodicArmaFilter"' |
| PeriodicMaModel-class | Class PeriodicMaModel |
| PeriodicMonicFilterSpec-class | Class PeriodicBJFilter |
| PeriodicMTS-class | Class '"PeriodicMTS"' |
| PeriodicMTS_ts-class | Class '"PeriodicMTS_ts"' |
| PeriodicMTS_zooreg-class | Class '"PeriodicMTS_zooreg"' |
| PeriodicSPFilter-class | Class PeriodicSPFilter |
| PeriodicTimeSeries-class | Class PeriodicTimeSeries |
| PeriodicTS-class | Class '"PeriodicTS"' |
| PeriodicTS_ts-class | Class '"PeriodicTS_ts"' |
| PeriodicTS_zooreg-class | Class '"PeriodicTS_zooreg"' |
| PeriodicVector | Class PeriodicVector |
| PeriodicVector-class | Class PeriodicVector |
| periodic_acf1_test | McLeod's test for periodic autocorrelation |
| permean2intercept | Convert between periodic centering and intercepts |
| permodelmf | Compute the multi-companion form of a per model |
| pi1ar2par | Convert PIAR coefficients to PAR coefficients |
| piar2par | Convert PIAR coefficients to PAR coefficients |
| PiPeriodicArmaModel-class | Class PiPeriodicArmaModel |
| PiPeriodicArModel-class | Class PiPeriodicArModel |
| PiPeriodicMaModel-class | Class PiPeriodicMaModel |
| plot-method | Class '"PeriodicTS"' |
| ptildeorders | Deprecated Functions in Package 'pcts' |
| pwn_McLeodLjungBox_test | McLeod-Ljung-Box test for periodic white noise |
| QuarterYearCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| SamplePeriodicAutocorrelations-class | Class SamplePeriodicAutocorrelations |
| SamplePeriodicAutocovariances-class | Class SamplePeriodicAutocovariances |
| seqSeasons | Get names of seasons |
| seqSeasons-method | Methods for seqSeasons() in package pcts |
| seqSeasons-methods | Methods for seqSeasons() in package pcts |
| show-method | Class '"PeriodicTS"' |
| sigmaSq-method | Methods for 'sigmaSq' in package pcts |
| sigmaSq-methods | Methods for 'sigmaSq' in package pcts |
| SimpleCycle-class | Class SimpleCycle |
| sim_arAcf | Deprecated Functions in Package 'pcts' |
| sim_parAcvf | Create a random periodic autocovariance function |
| sim_parCoef | Generate a periodic autoregression model |
| sim_pc | Simulate Periodically Correlated ARMA Series |
| sim_pwn | Simulate periodic white noise |
| SiPeriodicArmaModel-class | Class SiPeriodicArmaModel |
| SiPeriodicArModel-class | Class SiPeriodicArModel |
| SiPeriodicMaModel-class | Class SiPeriodicMaModel |
| summary-method | Class '"PeriodicTS"' |
| test_piar | Test for periodic integration |
| toSeason | Functions for some basic operations with seasons |
| toSeasonPair | Functions for some basic operations with seasons |
| tsMatrix | Core data of periodic time series |
| tsVec | Core data of periodic time series |
| tsVector | Core data of periodic time series |
| ttmatToslPairs | Functions for some basic operations with seasons |
| ttTosl | Functions for some basic operations with seasons |
| unitCycle | Get names of seasons |
| unitCycle-method | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| unitCycle-method | Methods for unitCycle() in package pcts |
| unitCycle-methods | Methods for unitCycle() in package pcts |
| unitCycle<- | Get names of seasons |
| unitCycle<--method | Methods for '"unitCycle<-"()' in package pcts |
| unitCycle<--methods | Methods for '"unitCycle<-"()' in package pcts |
| unitSeason | Get names of seasons |
| unitSeason-method | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
| unitSeason-method | Methods for unitSeason() in package pcts |
| unitSeason-methods | Methods for unitSeason() in package pcts |
| unitSeason<- | Get names of seasons |
| unitSeason<--method | Methods for '"unitSeason<-"()' in package pcts |
| unitSeason<--methods | Methods for '"unitSeason<-"()' in package pcts |
| Vec | Core data of periodic time series |
| xx.ss | Create environment for mc-fitting |
| zoo-class | Class zoo made S4 |
| zooreg-class | Virtual S4 class zooreg |
| $-method | Methods for function'$' in package 'pcts' |
| $-methods | Methods for function'$' in package 'pcts' |
| [-method | Indexing of objects from classes in package pcts |
| [-methods | Indexing of objects from classes in package pcts |
| [<--method | Index assignments for objects from classes in package pcts |
| [<--methods | Index assignments for objects from classes in package pcts |
| [[-method | Methods for function''[['' in package 'pcts' |
| [[-methods | Methods for function''[['' in package 'pcts' |