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acfMPeriod (version 1.0.0)

Robust Estimation of the ACF from the M-Periodogram

Description

Non-robust and robust computations of the sample autocovariance (ACOVF) and sample autocorrelation functions (ACF) of univariate and multivariate processes. The methodology consists in reversing the diagonalization procedure involving the periodogram or the cross-periodogram and the Fourier transform vectors, and, thus, obtaining the ACOVF or the ACF as discussed in Fuller (1995) . The robust version is obtained by fitting robust M-regressors to obtain the M-periodogram or M-cross-periodogram as discussed in Reisen et al. (2017) .

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Version

Install

install.packages('acfMPeriod')

Monthly Downloads

463

Version

1.0.0

License

GPL (>= 2)

Maintainer

Higor Cotta

Last Published

July 23rd, 2019

Functions in acfMPeriod (1.0.0)

plot.robacf

Plot Robust Autocovariance and Robust Autocorrelation Functions
PerACF

Autocorrelation or autocovariance function estimation from the periodogram
MPerioReg

Robust M-periodogram
CovCorPer

Covariance or correlation matrix from the Per-ACF
CrossPeriodogram

Cross-periodogram
MCrossPeriodogram

Robust M-cross-periodogram
MPerACF

Robust autocorrelation or autocovariance function estimation from the robust M-periodogram
PerioReg

Periodogram
CovCorMPer

Robust covariance or correlation matrix from the MPer-ACF