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:Charles C. Taylor [aut], Giovanni Lafratta [aut, cre], Stefania Fensore [aut]

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NEWS

# Install 'nprotreg' in R:
install.packages('nprotreg', repos = c('https://novacta.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

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

2.23 score 1 stars 34 scripts 654 downloads 9 exports 3 dependencies

Last updated 1 years agofrom:687a26f2a1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:convert_cartesian_to_sphericalconvert_spherical_to_cartesiancross_validate_concentrationfit_regressionget_equally_spaced_pointsget_skew_symmetric_matrixsimulate_regressionsimulate_rigid_regressionweight_explanatory_points

Dependencies:codetoolsforeachiterators