Decomposition of Time Series Data


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Documentation for package ‘tsdecomp’ version 0.2

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tsdecomp-package ARIMA-Model-Based Decomposition of Time Series Data
acgf2poly Change of Variable in the AutoCovariance Generating Function
acov2ma Convert Autocovariances to Coefficients of a Moving Average
acov2ma.init Convert Autocovariances to Coefficients of a Moving Average
ARIMAdec ARIMA-Model-Based Decomposition of Time Series
ARMAacov Compute Theoretical Autocovariances of an ARMA Model
canonical.decomposition Canonical Decomposition
compare.acf Compare ACF of Theoretical, Estimator and Empirical Component
dsfilter Double-Sided Symmetric Linear Filter
filtering Double-Sided Symmetric Linear Filter
partial.fraction Partial Fraction Decomposition
plot.ARIMAdec ARIMA-Model-Based Decomposition of Time Series
plot.tsdecAcf Compare ACF of Theoretical, Estimator and Empirical Component
plot.tsdecARroots Allocation of Autoregressive Roots
plot.tsdecFilter Plot Method for 'tsdecFilter' Objects
poly2acgf Change of Variable in the AutoCovariance Generating Function
polydiv Polynomial Operations and Utilities
polyeval Polynomial Operations and Utilities
polyprod Polynomial Operations and Utilities
polystring Polynomial Operations and Utilities
print.ARIMAdec ARIMA-Model-Based Decomposition of Time Series
print.tsdecARroots Allocation of Autoregressive Roots
print.tsdecCanDec Canonical Decomposition
print.tsdecMAroots Change of Variable in the AutoCovariance Generating Function
print.tsdecPSP Pseudo-Spectrum of an ARIMA Model
pseudo.spectrum Pseudo-Spectrum of an ARIMA Model
roots.allocation Allocation of Autoregressive Roots
roots2poly Polynomial Operations and Utilities
tsdecomp ARIMA-Model-Based Decomposition of Time Series Data