Package: nprotreg 1.1.1
nprotreg: Nonparametric Rotations for Sphere-Sphere Regression
Fits sphere-sphere regression models by estimating locally weighted rotations. Simulation of sphere-sphere data according to non-rigid rotation models. Provides methods for bias reduction applying iterative procedures within a Newton-Raphson learning scheme. Cross-validation is exploited to select smoothing parameters. See Marco Di Marzio, Agnese Panzera & Charles C. Taylor (2018) <doi:10.1080/01621459.2017.1421542>.
Authors:
nprotreg_1.1.1.tar.gz
nprotreg_1.1.1.zip(r-4.7)nprotreg_1.1.1.zip(r-4.6)nprotreg_1.1.1.zip(r-4.5)
nprotreg_1.1.1.tgz(r-4.6-any)nprotreg_1.1.1.tgz(r-4.5-any)
nprotreg_1.1.1.tar.gz(r-4.7-any)nprotreg_1.1.1.tar.gz(r-4.6-any)
nprotreg_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nprotreg/json (API)
NEWS
| # Install 'nprotreg' in R: |
| install.packages('nprotreg', repos = c('https://novacta.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:687a26f2a1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 115 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 107 | ||
| macos-release-arm64 | OK | 71 | ||
| macos-oldrel-arm64 | OK | 78 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 104 | ||
| wasm-release | OK | 89 |
Exports:convert_cartesian_to_sphericalconvert_spherical_to_cartesiancross_validate_concentrationfit_regressionget_equally_spaced_pointsget_skew_symmetric_matrixsimulate_regressionsimulate_rigid_regressionweight_explanatory_points
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Converts Cartesian to Spherical Coordinates. | convert_cartesian_to_spherical |
| Converts Spherical to Cartesian Coordinates. | convert_spherical_to_cartesian |
| Cross-validates The Concentration Parameter In A 3D Spherical Regression. | cross_validate_concentration |
| Computes the Exponential of a 3D Skew Symmetric Matrix. | expm |
| Fits a 3D Spherical Regression. | fit_regression |
| Generates Equally Spaced Points On A 3D Sphere. | get_equally_spaced_points |
| Gets a 3-by-3 Skew Symmetric Matrix. | get_skew_symmetric_matrix |
| Computes the Logarithm of a 3D Rotation Matrix. | logm |
| nprotreg: Nonparametric Rotations for Sphere-Sphere Regression. | nprotreg-package nprotreg |
| Simulates a 3D Spherical Regression. | simulate_regression |
| Simulates a Rigid 3D Spherical Regression. | simulate_rigid_regression |
| Weights the Specified Explanatory Points in a 3D Spherical Regression. | weight_explanatory_points |
