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 Ruedaet al.(2009); Fernándezet al.(2012). In this paper we introduce an R package calledisocirwhich 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.
authors: Departamento de Estadística e Investigación Operativa Instituto de Matemáticas (IMUVA) Universidad de Valladolid Valladolid, Spain sandraba@eio.uva.es.
authors: Sandra
authors: S
authors: Barragán
authors: Departamento de Estadística e Investigación Operativa Instituto de Matemáticas (IMUVA) Universidad de Valladolid Valladolid, Spain miguelaf@eio.uva.es.
authors: Miguel A
authors: MA
authors: Fernández
authors: Departamento de Estadística e Investigación Operativa Instituto de Matemáticas (IMUVA) Universidad de Valladolid Valladolid, Spain crueda@eio.uva.es.
authors: Cristina
authors: C
authors: Rueda
authors: Biostatistics Branch National Institute of Environmental Health Sciences Research Triangle Park NC 27709, USA peddada@niehs.nih.gov.
authors: Shyamal Das
authors: SD
authors: Peddada
keywords: CIRE; Circular Data; Circular Order; Conditional Test; R; R package isocir