Package: CircNNTSRaxial 0.1.0
Maria Mercedes Gregorio-Dominguez
CircNNTSRaxial: Axial Data using NNTS Models
Statistical analysis of axial using distributions Nonnegative Trigonometric Sums (NNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, and more. Fernandez-Duran, J.J. and Gregorio-Dominguez, M.M. (2025), ''Multimodal distributions for circular axial data", <doi:10.48550/arXiv.2504.04681>.
Authors:
CircNNTSRaxial_0.1.0.tar.gz
CircNNTSRaxial_0.1.0.tar.gz(r-4.7-any)CircNNTSRaxial_0.1.0.tar.gz(r-4.6-any)
CircNNTSRaxial_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CircNNTSRaxial/json (API)
| # Install 'CircNNTSRaxial' in R: |
| install.packages('CircNNTSRaxial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Datab13fisher - Dataset B13 from Fisher
- Datab22fisher - Dataset B22 from Fisher
- Datab2fisher - Dataset B2 from Fisher
- Datab5fisher - Dataset B5 from Fisher
- Leafangles - Leaf angles
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:245917b778. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 107 | ||
| source / vignettes | OK | 134 | ||
| linux-release-x86_64 | OK | 98 | ||
| wasm-release | OK | 99 |
Exports:axialnntsdensityaxialnntsloglikaxialnntsmanifoldnewtonestimationgradientstopaxialnntsmanifoldnewtonestimationgradientstopknownmuaxialnntsmanifoldnewtonestimationgradientstopknownmusymmetricaxialnntsmanifoldnewtonestimationgradientstopsymmetricaxialnntsplotaxialnntsrandominitialaxialnntssimulation
Dependencies:CircNNTSRforeignGPArotationlatticemnormtnlmepsychpsychTools
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| NNTS density function for axial data | axialnntsdensity |
| Axial NNTS log-likelihood function | axialnntsloglik |
| Parameter estimation for axial NNTS distributions with gradient stop | axialnntsmanifoldnewtonestimationgradientstop |
| Parameter estimation for axial NNTS distributions with known location angle gradient stop | axialnntsmanifoldnewtonestimationgradientstopknownmu |
| Parameter estimation for axial symmetric NNTS distributions with known location angle gradient stop | axialnntsmanifoldnewtonestimationgradientstopknownmusymmetric |
| Parameter estimation for axial symmetric NNTS distributions with gradient stop | axialnntsmanifoldnewtonestimationgradientstopsymmetric |
| Plots the NNTS axial density | axialnntsplot |
| Initial random point | axialnntsrandominitial |
| NNTS axial density simulation function | axialnntssimulation |
| Dataset B13 from Fisher | Datab13fisher |
| Dataset B22 from Fisher | Datab22fisher |
| Dataset B2 from Fisher | Datab2fisher |
| Dataset B5 from Fisher | Datab5fisher |
| Leaf angles | Leafangles |