Package: psd 2.1.1

psd: Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation

Produces power spectral density estimates through iterative refinement of the optimal number of sine-tapers at each frequency. This optimization procedure is based on the method of Riedel and Sidorenko (1995), which minimizes the Mean Square Error (sum of variance and bias) at each frequency, but modified for computational stability. The same procedure can now be used to calculate the cross spectrum (multivariate analyses).

Authors:Andrew J. Barbour [aut, cre], Jonathan Kennel [aut], Robert L. Parker [aut]

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NEWS

Peer review:

Bug tracker:https://github.com/abarbour/psd/issues

On CRAN:

multitaperpower-spectral-densitypower-spectrumpsdspectral-density-estimatesspectrum

61 exports 9 stars 1.99 score 3 dependencies 1 dependents 2 mentions 122 scripts 837 downloads

Last updated 1 years agofrom:b5944e590a. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:.spec_confintadapt_messageas.taperscoherencecolvecconstrain_taperscreate_polyctap_loessctap_simpledata.frame.tapersdBdet_vectorget_adapt_historyget_psd_env_nameget_psd_env_pointeris.amtis.specis.taperslast_psdminspanmodmodulo_floorna_locfna_matnew_adapt_historynormalizeonesparabolic_weightsparabolic_weights_fieldparabolic_weights_rcpppgram_comparephasepilot_specprewhitenpsd_envAssignpsd_envAssignGetpsd_envClearpsd_envGetpsd_envListpsd_envRefreshpsd_envStatuspsdcorepspectrumpspectrum_basicrcpp_ctap_simpleresample_fft_rcppresample_mvfftriedsidriedsid_rcppriedsid2rowvecspec_confintspec_detailsspectral_propertiessplineGradtapersupdate_adapt_historyvarddiffvardiffvector_reshapezeros

Dependencies:RColorBrewerRcppRcppArmadillo