Directional: A Collection of R Functions for Directional Data Analysis

A collection of functions for directional data (including massive, with millions of observations, data) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467–491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153–165. <doi:10.1007/s11222-019-09872-2>.

Version: 4.8
Imports: bigstatsr, parallel, doParallel, foreach, RANN, Rfast, Rfast2, rgl
Published: 2021-02-16
Author: Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris at>
License: GPL-2
NeedsCompilation: no
CRAN checks: Directional results


Reference manual: Directional.pdf
Package source: Directional_4.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: Directional_4.8.tgz, r-oldrel: Directional_4.8.tgz
Old sources: Directional archive

Reverse dependencies:

Reverse imports: Compositional, HDiR


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