Quantile-based spectral analysis in an object-oriented framework and a reference implementation in R: The quantspec package

21Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

Quantile-based approaches to the spectral analysis of time series have recently attracted a lot of attention. Several methods for estimation have been proposed in the literature and their statistical properties were analyzed. Yet, so far, neither a systematic method for computation nor a comprehensive software implementation are available to date. This paper contains two main contributions. First, an extensible framework for quantile-based spectral analysis of time series is developed and documented using object-oriented models. A comprehensive, open source reference implementation of this framework is provided in the R package quantspec, which is available from the Comprehensive R Archive Network. The second contribution of the present paper is to provide a detailed tutorial, with worked examples, for this R package. A reader who is already familiar with quantile-based spectral analysis and whose primary interest is not the design of the quantspec package, but how to use it, can read the tutorial and worked examples (Sections 3 and 4) independently.

Cite

CITATION STYLE

APA

Kley, T. (2016). Quantile-based spectral analysis in an object-oriented framework and a reference implementation in R: The quantspec package. Journal of Statistical Software, 70. https://doi.org/10.18637/jss.v070.i03

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free