Package: psd
Type: Package
Title: Adaptive, Sine-Multitaper Power Spectral Density and Cross
        Spectrum Estimation
Version: 2.1.1
Date: 2022-02-01
Authors@R: 
    c(person(given = c("Andrew","J."),
             family = "Barbour",
             role = c("aut", "cre"),
             email = "andy.barbour@gmail.com",
             comment = c(ORCID = "0000-0002-6890-2452")),
      person(given = "Jonathan",
             family = "Kennel",
             role = "aut",
             comment = c(ORCID = "0000-0003-4474-6886")),
      person(given = c("Robert","L."),
             family = "Parker",
             role = "aut"))
Description: 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).
License: GPL (>= 2)
URL: https://github.com/abarbour/psd, Barbour and Parker (2014):
        https://doi.org/10.1016/j.cageo.2013.09.015, Riedel and
        Sidorenko (1995): https://doi.org/10.1109/78.365298
BugReports: https://github.com/abarbour/psd/issues
Depends: R (>= 2.14.1)
Imports: Rcpp (>= 0.11.5), RColorBrewer
Suggests: bspec, fftw (>= 1.0.3), ggplot2 (>= 0.9), multitaper, plyr,
        RSEIS, rbenchmark, reshape2, knitr, rmarkdown, signal, formatR,
        testthat (>= 2.1.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-01-31 21:00:07 UTC; abarbour
Author: Andrew J. Barbour [aut, cre] (<https://orcid.org/0000-0002-6890-2452>),
  Jonathan Kennel [aut] (<https://orcid.org/0000-0003-4474-6886>),
  Robert L. Parker [aut]
Maintainer: Andrew J. Barbour <andy.barbour@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-31 21:30:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 01:04:57 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
