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>.

Total

353

Last month

203

Last week

60

Average per day

7

Daily downloads

Total downloads

Description file content

Package
nprotreg
Title
Nonparametric Rotations for Sphere-Sphere Regression
Version
1.0.0
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) .
Depends
R (>= 3.3.0)
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
RoxygenNote
5.0.1
Suggests
testthat
Imports
methods, expm, stats
NeedsCompilation
no
Packaged
2018-10-05 11:52:07 UTC; giova
Author
Charles C. Taylor [aut], Giovanni Lafratta [aut, cre], Stefania Fensore [aut]
Maintainer
Giovanni Lafratta
Repository
CRAN
Date/Publication
2018-10-14 17:20:06 UTC

install.packages('nprotreg')

1.0.0

a month ago

Giovanni Lafratta

MIT + file LICENSE

Depends on

R (>= 3.3.0)

Imports

methods, expm, stats

Suggests

testthat

Discussions