Title: Functions For Circular Spatial Data
Description: The package is a collection of functions for color
continuous high resolution images of circular spatial data,
circular kriging, and simulation of circular random fields.

Author: S original by Ulric Lund <ulund@calpoly.edu>, R port by Claudio Agostinelli <claudio@unive.it>
Description: Circular Statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Author: S-plus original by Ulric Lund <ulund@calpoly.edu>, R port by Claudio Agostinelli <claudio@unive.it>
URL: S-plus original at http://statweb.calpoly.edu/lund/

Packaged: Tue Dec 23 15:38:47 2003; claudio

Packaged: Fri Apr  8 09:35:20 2005; claudio

Packaged: Mon Feb 13 11:16:33 2006; claudio

Title: Circular Statistics, from "Topics in circular Statistics" (2001)
Packaged: Mon Aug 13 21:57:18 2007; hornik

Packaged: Wed Feb  4 10:43:07 2009; hornik

Author: S-plus original by Ulric Lund <ulund@calpoly.edu>, R port by
Description: Circular Statistics, from "Topics in circular Statistics"
(2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Title: Circular Statistics, from "Topics in Circular Statistics" (2001)
Description: Circular Statistics, from "Topics in Circular Statistics"

Packaged: Wed Dec  7 16:28:59 2005; claudio

Title: Algorithm for Computation of the Intersection Areas of N Circles
Description: Implementation of Librino, Levorato, and Zorzi (2014) <doi:10.1002/wcm.2305>
algorithm for computation of the intersection areas of an arbitrary number of circles.
Author: Hugo Salinas [aut, cre] (<https://orcid.org/0000-0002-1734-2977>)

Description: Circular drift-diffusion model for continuous reports.

Authors@R: c(person("Yi-Shin", "Lin", role = c("aut", "cre"),
person("Andrew", "Heathcote", role = "aut"),

Title: Fast Silhouette on Circular or Linear Data Clusters
c(person("Yinong", "Chen", role = "aut",
person("Tathagata", "Debnath", role = "aut",
person("Joe", "Song", role = c("aut", "cre"),
Author: Yinong Chen [aut] (<https://orcid.org/0000-0003-1641-1712>),
Description: Calculating silhouette information for clusters on
circular or linear data using fast algorithms. These algorithms run in
linear time on sorted data, in contrast to quadratic time by the
definition of silhouette. When used together with the fast and optimal
circular clustering method FOCC (Debnath & Song 2021)
<doi:10.1109/TCBB.2021.3077573> implemented in R package 'OptCirClust',
circular silhouette can be maximized to find the optimal number of
circular clusters; it can also be used to estimate the period of noisy
Imports: OptCirClust, Rcpp (>= 1.0.7), Rdpack
Suggests: cluster, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0),