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NPCirc: Nonparametric Circular Methods

Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.

Version: 3.1.1
Depends: R (≥ 3.5.0), circular
Imports: Rcpp (≥ 1.0.8.3), misc3d, movMF, plotrix, rgl, shape, Bolstad2
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-11-10
Author: Maria Alonso-Pena [aut, cre], Maria Oliveira [aut], Jose Ameijeiras-Alonso [aut], Rosa M. Crujeiras [aut], Irene Gijbels [aut], Alberto Rodriguez-Casal [aut], Felicita Scapini [dtc]
Maintainer: Maria Alonso-Pena <maria.alonsopena at kuleuven.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.jstatsoft.org/v61/i09/
NeedsCompilation: yes
Citation: NPCirc citation info
CRAN checks: NPCirc results

Documentation:

Reference manual: NPCirc.pdf

Downloads:

Package source: NPCirc_3.1.1.tar.gz
Windows binaries: r-devel: NPCirc_3.1.1.zip, r-release: NPCirc_3.1.1.zip, r-oldrel: NPCirc_3.1.1.zip
macOS binaries: r-release (arm64): NPCirc_3.1.1.tgz, r-oldrel (arm64): NPCirc_3.1.1.tgz, r-release (x86_64): NPCirc_3.1.1.tgz, r-oldrel (x86_64): NPCirc_3.1.1.tgz
Old sources: NPCirc archive

Reverse dependencies:

Reverse imports: circularEV, HDiR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NPCirc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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