R/qFeature-package.R

In pnnl/qFeature: Extract Features from Continuous or Discrete Time Series

##' Extract Features from Continuous or Discrete Time Series
##' 
##' Extract features from time series using moving windows of regression fits.
##' This is a high-speed implementation of the feature extraction methods of the
##' Morning Report Algorithms developed by Brett Amidan and Tom Ferryman.
##' 
##' \tabular{ll}{
##' Package: \tab qFeature\cr
##' Type: \tab Package\cr
##' Version: \tab 0.1.7\cr
##' Date: \tab 2015-11-04\cr
##' License: \tab file LICENSE\cr }
##' 
##' @name qFeature-package
##' @aliases qFeature
##' @useDynLib qFeature
##' @docType package
##' @author Landon Sego, Lucas Tate
##'
##' Maintainer: Landon Sego <Landon.Sego@@pnnl.gov>
##' 
##' @references  Amidan BG, Ferryman TA. 2005.  "Atypical Event and Typical Pattern Detection within Complex Systems."
##' IEEE Aerospace Conference Proceedings, March 2005. 
##' 
##' @keywords package
##'
##' @examples
##' help(package = qFeature)
##' \dontrun{browseVignettes("qFeature")}
##' 
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