A B C D E F I M N O P Q R S T U V W 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 | Class PartialCycle |
allSeasons-method | Get names of seasons |
allSeasons-method | Deprecated Functions and classes in Package 'pcts' |
allSeasons-methods | Get names of seasons |
allSeasons<- | Get names of seasons |
allSeasons<--method | Get names of seasons |
as.Date.Cyclic | Create objects from class Cyclic |
as.Date.PeriodicTimeSeries | Create objects from class Cyclic |
as_date-method | Replace methods for as_date in package pcts |
as_date-methods | Replace methods for as_date in package pcts |
as_datetime-method | Methods for as_datetime in package pcts |
as_datetime-methods | Methods for as_datetime in package pcts |
as_pcarma_list-method | Class FittedPeriodicArmaModel |
as_Pctime | Convert between Pctime and datetime objects |
as_Pctime.Cyclic | Convert between Pctime and datetime objects |
as_Pctime.PeriodicTimeSeries | Convert between Pctime and datetime objects |
autocorrelations | Compute autocorrelations and periodic autocorrelations |
autocorrelations-method | Compute autocorrelations and periodic autocorrelations |
autocorrelations-methods | Compute autocorrelations and periodic autocorrelations |
autocovariances | Compute autocovariances and periodic autocovariances |
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 |
backwardPartialCoefficients-method | Compute periodic backward partial coefficients |
backwardPartialCoefficients-methods | Compute periodic backward partial coefficients |
backwardPartialVariances-method | Compute periodic backward partial variances |
backwardPartialVariances-methods | Compute periodic backward partial variances |
BareCycle-class | Class BareCycle |
BasicCycle-class | Class BasicCycle |
boxplot.PeriodicTimeSeries | Plot periodic time series |
BuiltinCycle | Create or extract Cycle objects |
BuiltinCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
coef-method | Class SubsetPM |
coerce-method | Class '"PeriodicTS"' |
cycle.PeriodicTimeSeries | Periodic methods for base R functions |
Cyclic | Create objects from class Cyclic |
Cyclic-class | Class '"Cyclic"' |
dataFranses1996 | Example data from Franses (1996) |
date.Cyclic | Create objects from class Cyclic |
date<- | Create objects from class Cyclic |
date<--method | Replace methods for date in package pcts |
date<--methods | Replace methods for date in package pcts |
DayWeekCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
deltat.PeriodicTimeSeries | Periodic methods for base R functions |
end.Cyclic | Periodic methods for base R functions |
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 |
fitted-method | Class SubsetPM |
FittedPeriodicArmaModel-class | Class FittedPeriodicArmaModel |
FittedPeriodicArModel-class | Class FittedPeriodicArModel |
fit_trigPAR_optim | Fit a subset trigonometric PAR model |
FiveDayWeekCycle-class | Deprecated Functions and classes in Package 'pcts' |
four_stocks_since2016_01_01 | Data for four stocks since 2016-01-01 |
Fraser2017 | Fraser River at Hope, mean monthly flow |
frequency.PeriodicTimeSeries | Periodic methods for base R functions |
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 and classes 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' |
na.trim | Periodic methods for base R functions |
na.trim.PeriodicMTS | Periodic methods for base R functions |
na.trim.PeriodicTS | Periodic methods for base R functions |
nCycles | Basic information about periodic ts objects |
nSeasons | Basic information about periodic ts objects |
nSeasons-method | Number of seasons of a periodic object |
nSeasons-method | Deprecated Functions and classes in Package 'pcts' |
nSeasons-methods | Number of seasons of a periodic object |
nTicks | Basic information about periodic ts objects |
num2pcpar | Fit PAR model using sample autocorrelations |
nVariables | Basic information about periodic ts objects |
OpenCloseCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
parcovmatlist | Compute asymptotic covariance matrix for PAR model |
partialAutocorrelations | Compute periodic partial autocorrelations |
partialAutocorrelations-method | Compute periodic partial autocorrelations |
partialAutocorrelations-methods | Compute periodic partial autocorrelations |
partialAutocovariances-method | Compute periodic partial autocovariances |
partialAutocovariances-methods | Compute periodic partial autocovariances |
partialCoefficients | Compute periodic partial coefficients |
partialCoefficients-method | Compute periodic partial coefficients |
partialCoefficients-methods | Compute periodic partial coefficients |
PartialCycle-class | Class PartialCycle |
PartialPeriodicAutocorrelations-class | Class PartialPeriodicAutocorrelations |
partialVariances | Compute periodic partial variances |
partialVariances-method | Compute periodic partial variances |
partialVariances-methods | Compute periodic partial variances |
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 |
pcApply | Apply a function to each season |
pcApply-method | Apply a function to each season |
pcApply-methods | Apply a function to each season |
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 |
pcMean | Compute periodic mean |
pcMean-method | Compute periodic mean |
pcMean-methods | Compute periodic mean |
pcPlot | Plot periodic time series |
pcTest | Test for periodicity |
pcTest-method | Test for periodicity |
pcTest-methods | Test for periodicity |
Pctime | Convert between Pctime and datetime objects |
pcts | Create objects from periodic time series classes |
pcts-deprecated | Deprecated Functions and classes 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 |
pcts_exdata | Periodic time series objects for examples |
pc_sdfactor | Compute normalising factors |
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 |
PeriodicAutocovariances-class | Class PeriodicAutocovariances |
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 PeriodicAutocorrelations |
plot-method | Class '"PeriodicMTS"' |
plot-method | Class '"PeriodicTS"' |
ptildeorders | Deprecated Functions and classes in Package 'pcts' |
pwn_McLeodLjungBox_test | McLeod-Ljung-Box test for periodic white noise |
QuarterYearCycle-class | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
residuals-method | Class SubsetPM |
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 FittedPeriodicArmaModel |
show-method | Class '"PeriodicTS"' |
show-method | Class SubsetPM |
sigmaSq-method | Methods for 'sigmaSq' in package pcts |
sigmaSq-methods | Methods for 'sigmaSq' in package pcts |
SimpleCycle-class | Class SimpleCycle |
sim_arAcf | Deprecated Functions and classes 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 |
start.Cyclic | Periodic methods for base R functions |
SubsetPM-class | Class SubsetPM |
summary-method | Class '"PeriodicTS"' |
test_piar | Test for periodic integration |
time.PeriodicTimeSeries | Periodic methods for base R functions |
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 | Deprecated Functions and classes in Package 'pcts' |
unitCycle-method | Methods for 'unitCycle' and 'unitSeason' in package pcts |
unitCycle-methods | Methods for 'unitCycle' and 'unitSeason' in package pcts |
unitCycle<- | Get names of seasons |
unitCycle<--method | Methods for ''unitCycle<-'' and ''unitSeason<-'' in package pcts |
unitCycle<--methods | Methods for ''unitCycle<-'' and ''unitSeason<-'' in package pcts |
unitSeason | Get names of seasons |
unitSeason-method | Class '"BuiltinCycle"' and its subclasses in package 'pcts' |
unitSeason-method | Deprecated Functions and classes in Package 'pcts' |
unitSeason-method | Methods for 'unitCycle' and 'unitSeason' in package pcts |
unitSeason-methods | Methods for 'unitCycle' and 'unitSeason' in package pcts |
unitSeason<- | Get names of seasons |
unitSeason<--method | Methods for ''unitCycle<-'' and ''unitSeason<-'' in package pcts |
unitSeason<--methods | Methods for ''unitCycle<-'' and ''unitSeason<-'' in package pcts |
vcov-method | Class SubsetPM |
Vec | Core data of periodic time series |
window | Periodic methods for base R functions |
window.PeriodicMTS | Periodic methods for base R functions |
window.PeriodicTS | Periodic methods for base R functions |
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 |
[.Date | Convert between Pctime and datetime objects |
[.Pctime | Convert between Pctime and datetime objects |
[.ts | Convert between Pctime and datetime objects |
[<--method | Index assignments for objects from classes in package pcts |
[<--methods | Index assignments for objects from classes in package pcts |
[<-.POSIXlt | Convert between Pctime and datetime objects |
[[-method | Methods for function''[['' in package 'pcts' |
[[-methods | Methods for function''[['' in package 'pcts' |
[[.Date | Convert between Pctime and datetime objects |
[[.Pctime | Convert between Pctime and datetime objects |