Package: psd
Type: Package
Title: Adaptive, Sine-Multitaper Power Spectral Density Estimation
Version: 1.2.0
Date: 2019-03-20
Author: Andrew J. Barbour [aut, cre] (<https://orcid.org/0000-0001-6473-5493>), 
    Robert L. Parker [cre],
    Jonathan Kennel [ctb]
Maintainer: Andrew J. Barbour <andy.barbour@gmail.com>
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.
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, signal, zoo
Suggests: bspec, fftw (>= 1.0.3), ggplot2 (>= 0.9), knitr, multitaper,
        plyr, RSEIS, rbenchmark, reshape2, testthat
Encoding: UTF-8
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-03-20 20:10:37 UTC; abl
Repository: CRAN
Date/Publication: 2019-03-20 22:10:03 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:30:00 UTC; windows
Archs: i386, x64
