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

Extract features from time series using moving windows of regression fits for continuous variables and by summarizing the duration and transistion features of discrete variables. This is a high-speed implementation of the feature extraction methods of the Morning Report Algorithms developed by Brett Amidan and Tom Ferryman.

Getting started

Package details

AuthorLandon Sego, Lucas Tate
MaintainerLandon Sego <>
Licensefile LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
pnnl/qFeature documentation built on May 25, 2019, 10:22 a.m.