Title: Standardizing Physiological Composite Risk Endpoints
Description: Provides a number of functions to
simplify and automate the scoring, comparison, and evaluation of
different ways of creating composites of data.  It is particularly
aimed at facilitating the creation of physiological composites of
metabolic syndrome symptom score (MSSS) and allostatic load (AL).

metabolic syndrome symptom score (MetSSS) and allostatic load (AL).
Provides a wrapper to calculate the MetSSS on new data using the
Imports: stats, ggplot2, reshape2, lavaan, JWileymisc (>= 1.3.0)
Collate: 'MetSSS.R' 'MetSSS_model.R' 'methods.R' 'misc.R' 'classes.R'

Title: Adaptive, sine-multitaper power spectral density estimation
Author: Robert L. Parker and Andrew J. Barbour
Description: 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
Depends: R (>= 2.14.1), stats, utils, graphics, grDevices, fftw (>=
Imports: Peaks, RColorBrewer, signal, zoo
Suggests: bspec, ggplot2 (>= 0.9), knitr, multitaper, plyr, RSEIS,
Collate: 'psd-package.R' 'func_envir.R' 'zzz.R' 'func_pspectrum.R'

Description: 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

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