doi:10.1142/4031>, removal of cardinal biases is based on the approach introduced in van Bergen, Ma, Pratte, & Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023) <doi:10.1038/s41467-023-43251-w>.">

circhelp: Circular Analyses Helper Functions (original) (raw)

Light-weight functions for computing descriptive statistics in different circular spaces (e.g., 2pi, 180, or 360 degrees), to handle angle-dependent biases, pad circular data, and more. Specifically aimed for psychologists and neuroscientists analyzing circular data. Basic methods are based on Jammalamadaka and SenGupta (2001) <doi:10.1142/4031>, removal of cardinal biases is based on the approach introduced in van Bergen, Ma, Pratte, & Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023) <doi:10.1038/s41467-023-43251-w>.

Version: 1.1
Depends: stats, data.table, ggplot2, R (≥ 2.10)
Imports: gamlss, MASS, mathjaxr, patchwork
Suggests: testthat (≥ 3.0.0), circular, knitr, rmarkdown, BAMBI, mgcv, ragg
Published: 2024-07-04
DOI: 10.32614/CRAN.package.circhelp
Author: Andrey ChetverikovORCID iD [aut, cre], Eline Van Geert ORCID iD [ctb]
Maintainer: Andrey Chetverikov <andrey.chetverikov at uib.no>
BugReports: https://github.com/achetverikov/circhelp/issues
License: CC0
URL: https://achetverikov.github.io/circhelp/index.html,https://github.com/achetverikov/circhelp
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: circhelp results

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