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.
- Version1.1.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release09/28/2023
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Team
Giovanni Lafratta
Charles C. Taylor
Show author detailsRolesAuthorStefania Fensore
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