Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
isocir: An R Package for Constrained Inference Using Isotonic Regression for Circular Data, with an Application to Cell Biology | Barragán | Journal of Statistical Software
Authors: Sandra Barragán, Miguel Fernández, Cristina Rueda, Shyamal Peddada
Title: isocir: An R Package for Constrained Inference Using Isotonic Regression for Circular Data, with an Application to Cell Biology
Abstract: In many applications one may be interested in drawing inferences regarding the order of a collection of points on a unit circle. Due to the underlying geometry of the circle standard constrained inference procedures developed for Euclidean space data are not applicable. Recently, statistical inference for parameters under such order constraints on a unit circle was discussed in Rueda, Ferndez, and Peddada (2009) and Ferndez, Rueda, and Peddada (2012). In this paper we introduce the R package isocir which provides a set of functions that can be used for analyzing angular data subject to order constraints on a unit circle. Since this work is motivated by applications in cell biology, we illustrate the proposed package using a relevant cell cycle data.

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Paper: isocir: An R Package for Constrained Inference Using Isotonic Regression for Circular Data, with an Application to Cell Biology     Download PDF (Downloads: 1615)
Supplements:
isocir_1.1-2.tar.gz: isocir_1.1-1.tar.gz: R source package Download (Downloads: 225; 506KB)
v54i04.R: R example code from the paper Download (Downloads: 257; 1KB)

DOI: 10.18637/jss.v054.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.