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NPCirc  

Nonparametric Circular Methods
View on CRAN: Click here


Download and install NPCirc package within the R console
Install from CRAN:
install.packages("NPCirc")

Install from Github:
library("remotes")
install_github("cran/NPCirc")

Install by package version:
library("remotes")
install_version("NPCirc", "3.2.1")



Attach the package and use:
library("NPCirc")
Maintained by
Maria Alonso-Pena
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-14
Latest Update: 2025-09-01
Description:
Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.
How to cite:
Maria Alonso-Pena (2013). NPCirc: Nonparametric Circular Methods. R package version 3.2.1, https://cran.r-project.org/web/packages/NPCirc. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0.0 (2013-03-14 17:33), 2.0.0 (2013-10-23 17:28), 2.0.1 (2014-10-16 16:59), 3.0.1 (2021-07-22 16:10), 3.1.1 (2022-11-10 14:00), 3.1.2 (2025-11-12 07:20), (2026-07-09 08:15)
Other packages that cited NPCirc R package
View NPCirc citation profile
Other R packages that NPCirc depends, imports, suggests or enhances
Complete documentation for NPCirc
Functions, R codes and Examples using the NPCirc R package
Some associated functions: HumanMotorResonance . NPCirc-internal . NPCirc-package . ancova.circ.lin . bw.AA . bw.CV . bw.boot . bw.circ.local.lik . bw.joint.dpcirc . bw.modalreg.circ.lin . bw.pi . bw.reg.circ.lin . bw.rt . circ.local.lik . circsizer.density . circsizer.map . circsizer.regression . cross.beds1 . cross.beds2 . cycle.changes . dcircmix . dpreg.circ . dragonfly . dwsn . flywheels . kern.den.circ . kern.dpreg.circ . kern.reg.circ.lin . lines.regression.circular . modalreg.circ.lin . noeffect.circ.lin . periwinkles . plot.regression.circular . pm10 . sandhoppers . speed.wind . spikes . temp.wind . wind . zebrafish . 
Some associated R codes: CRSC.R . DensCircRad.R . NN.R . NN.circ.R . RcppExports.R . RegCircCirc.R . RegCircLin.R . RegLinCirc.R . ancova.circ.circ.R . ancova.circ.lin.R . ancova.lin.circ.R . bw.AA.R . bw.CV.R . bw.boot.R . bw.circ.local.lik.R . bw.joint.dpcirc.R . bw.modalreg.circ.circ.R . bw.modalreg.circ.lin.R . bw.modalreg.lin.circ.R . bw.pi.R . bw.reg.circ.circ.R . bw.reg.circ.lin.R . bw.reg.lin.circ.R . bw.rt.R . circ.local.lik.R . circsizer.density.R . circsizer.map.R . circsizer.regression.R . cross_validation.R . dcircmix.R . dpreg.circ.R . dwsn.R . est_bias.R . est_variance.R . estimation_gamma.R . int.Simp.R . interna_cvDP.R . internas_PDP.R . internas_kern.dens.R . internas_multimodal.R . kern.den.circ.R . kern.dpreg.circ.R . kern.reg.circ.circ.R . kern.reg.circ.lin.R . kern.reg.lin.circ.R . kernCL.R . lines.regression.circular.R . loc_loglik.R . matrixK_block.R . modalreg.circ.circ.R . modalreg.circ.lin.R . modalreg.lin.circ.R . noeffect.circ.circ.R . noeffect.circ.lin.R . noeffect.lin.circ.R . plot.regression.circular.R . print.circsizer.R . print.regression.circular.R . rcircmix.R . refined_rule.R . rwsn.R .  Full NPCirc package functions and examples
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