Package: circda 1.1

Michail Tsagris

circda: Circular Data Analysis

Functions to perform maximum likelihood estimation, model-based clustering, discriminant and regression analysis with a circular response variable. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: Tsagris M. and Alzeley O. (2025). "Circular and spherical projected Cauchy distributions: A Novel Framework for Circular and Directional Data Modeling". Australian & New Zealand Journal of Statistics, 67(1): 77--103. <doi:10.1111/anzs.12434>. Tsagris M., Papastamoulis P. and Kato S. (2025). "Directional data analysis: spherical Cauchy or Poisson kernel-based distribution". Statistics and Computing, 35:51 <doi:10.1007/s11222-025-10583-0>. Alzeley O. and Tsagris (2026). "On the generalized circular projected Cauchy distribution". Mathematics, 14(11): 1934 <doi:10.3390/math14111934>.

Authors:Michail Tsagris [aut, cre]

circda_1.1.tar.gz
circda_1.1.zip(r-4.7-any)circda_1.1.zip(r-4.6-any)
circda_1.1.tar.gz(r-4.7-any)circda_1.1.tar.gz(r-4.6-any)
circda_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
circda/json (API)

# Install 'circda' in R:

install.packages('circda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 206 downloads 17 exports 97 dependencies

Last updated from:06e1770365. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	206
source / vignettes	OK	284
linux-release	OK	223
windows-devel	OK	144
windows-release	OK	153
wasm-release	OK	212

Exports:bic.mixcirc circ.da circ.gomp circ.mle circ.reg circ.regs circ.ridge circda.cv circplot circridge.cv colcirc.mle dcirc dmixcirc mix.circplot mixcirc.mle rcirc rmixcirc

Dependencies:askpass base64enc BH bigassertr bigparallelr bigstatsr bit boot bslib cachem circular class classInt cli codetools cowplot cpp11 curl DBI digest Directional doParallel e1071 evaluate farver fastmap ff flock fontawesome foreach fs ggplot2 glmnet glue gtable highr htmltools htmlwidgets httr isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lifecycle magrittr Matrix memoise mime mvtnorm openssl parallelly pillar pkgconfig proxy ps R6 rangen rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rfast Rfast2 rgl RhpcBLASctl rlang rmarkdown rmio Rnanoflann rnaturalearth RSpectra s2 S7 sass scales sf shape survival sys terra tibble tinytex units utf8 vctrs viridisLite withr wk xfun yaml zigg

Help page	Topics
Circular Data Analysis	circda-package
BIC and ICL for the model based clustering with circular distributions	bic.mixcirc
Prediction of a new observation using discriminant analysis based on circular distributions	circ.da
Variable selection using the gamma-OMP algorithm	circ.gomp
MLE of a circular distribution	circ.mle
Regression model using a circular distribution	circ.reg
Many simple circular regressions	circ.regs
Ridge circular regression	circ.ridge
Circular histogram	circplot
Cross-validation for the ridge circular regression	circridge.cv
Column-wise MLE of some circular distributions	colcirc.mle
Density values for circular distributions	dcirc
Cross validation for estimating the classification rate	circda.cv
Density values for mixtures of circular distributions	dmixcirc
Circular histogram	mix.circplot
Fitting mixtures of circular distributions	mixcirc.mle
Random value generation from circular distributions	rcirc
Random value generation from mixtures of circular distributions	rmixcirc

Package: circda 1.1

circda: Circular Data Analysis

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)