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Fits spheresphere regression models by estimating locally weighted rotations. Simulation of spheresphere data according to nonrigid rotation models. Provides methods for bias reduction applying iterative procedures within a NewtonRaphson learning scheme. Crossvalidation is exploited to select smoothing parameters. See Marco Di Marzio, Agnese Panzera & Charles C. Taylor (2018) <doi:10.1080/01621459.2017.1421542>.
Package details 


Author  Charles C. Taylor [aut], Giovanni Lafratta [aut, cre], Stefania Fensore [aut] 
Maintainer  Giovanni Lafratta <[email protected]> 
License  MIT + file LICENSE 
Version  1.0.0 
Package repository  View on CRAN 
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