Adaptive, Sine-Multitaper Power Spectral Density and Cross
Spectrum Estimation
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"))
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.
bspec, fftw (>= 1.0.3), ggplot2 (>= 0.9), multitaper, plyr,
RSEIS, rbenchmark, reshape2, knitr, rmarkdown, signal, formatR,
testthat (>= 2.1.0)
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]

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).

c(person("Wagner", "Silva", email = "wjfs@cin.ufpe.br", role = c("aut", "cre", "ths")),
person("Renata", "Souza", email = "rmcrs@cin.ufpe.br", role = c("aut")),
person("Francisco", "Cysneiros", email = "cysneiros@de.ufpe.br", role = c("aut")))
An implementation of symbolic polygonal data analysis. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation.
In addition, transformation of the data in polygons. Empirical probability distribution function based on
polygonal histogram and regression models are presented.
Wagner Silva [aut, cre, ths],
Renata Souza [aut],
Francisco Cysneiros [aut]