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>.

Getting started

Package details

AuthorCharles C. Taylor [aut], Giovanni Lafratta [aut, cre], Stefania Fensore [aut]
MaintainerGiovanni Lafratta <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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nprotreg documentation built on Sept. 28, 2023, 9:06 a.m.