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nprotreg
View on CRAN: Click
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Download and install nprotreg package within the R console
Install from CRAN:
install.packages("nprotreg")
Install from Github:
library("remotes")
install_github("cran/nprotreg") Install by package version:
library("remotes")
install_version("nprotreg", "1.1.1") Attach the package and use:
library("nprotreg")
Maintained by
Giovanni Lafratta
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2023-09-28
Description:
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) .
How to cite:
Giovanni Lafratta (2018). nprotreg: Nonparametric Rotations for Sphere-Sphere Regression. R package version 1.1.1, https://cran.r-project.org/web/packages/nprotreg. Accessed 27 Oct. 2026.
Previous versions and publish date:
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Complete documentation for nprotreg
Functions, R codes and Examples using
the nprotreg R package
Some associated functions: convert_cartesian_to_spherical . convert_spherical_to_cartesian . cross_validate_concentration . expm . fit_regression . get_equally_spaced_points . get_skew_symmetric_matrix . logm . nprotreg . simulate_regression . simulate_rigid_regression . weight_explanatory_points .
Some associated R codes: convert_cartesian_to_spherical.R . convert_spherical_to_cartesian.R . cross_validate_concentration.R . fit_regression.R . get_equally_spaced_points.R . get_skew_symmetric_matrix.R . internal_rotation_logm.R . internal_skew_symmetric_expm.R . internal_validate_conditions.R . internal_validate_parameters.R . nprotreg.R . simulate_regression.R . simulate_rigid_regression.R . weight_explanatory_points.R . Full nprotreg package functions and examples
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