Adaptive, sine-multitaper power spectral density estimation
Power spectral density estimates are produced through
iterative refinement of the optimal number of sine-tapers at
each frequency.  The optimization procedure is based on the
method of Riedel and Sidorenko (1995), which applies smoothing
that varies with frequency to minimize the sum of variance and
bias at each point.
R (>= 2.14.1), stats, utils, graphics, grDevices, fftw (>=
1.0-3)
bspec, ggplot2 (>= 0.9), knitr, multitaper, plyr, RSEIS,
rbenchmark, reshape2
'psd-package.R' 'func_envir.R' 'zzz.R' 'func_pspectrum.R'
'func_psdcore.R' 'func_riedsid.R' 'func_tapers.R'
'func_whiten.R' 'func_utils.R' 'func_norm.R' 'func_specprops.R'
'func_spec.R'

Power spectral density estimates
are produced through iterative refinement of the
optimal number of sine-tapers at each frequency.
The optimization procedure is based on the
method of Riedel and Sidorenko (1995), which applies
smoothing that varies with frequency to minimize the sum
of variance and bias at each point.

http://abarbour.github.io/psd/ and
http://dx.doi.org/10.1016/j.cageo.2013.09.015 for the citation.

Adaptive, Sine-Multitaper Power Spectral Density Estimation
Andrew J. Barbour and Robert L. Parker, with contributions from David
Myer
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.
R (>= 2.14.1), utils, stats, graphics, grDevices
Rcpp (>= 0.11.5), RColorBrewer, signal, zoo
bspec, fftw (>= 1.0.3), ggplot2 (>= 0.9), knitr, multitaper,
plyr, RSEIS, rbenchmark, reshape2, testthat

https://github.com/abarbour/psd, Barbour and Parker (2014):
http://dx.doi.org/10.1016/j.cageo.2013.09.015, Riedel and
Sidorenko (1995): http://dx.doi.org/10.1109/78.365298

Andrew J. Barbour [aut, cre] (<https://orcid.org/0000-0001-6473-5493>),
Robert L. Parker [cre],
Jonathan Kennel [ctb]
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