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NPCirc

3.2.1

Nonparametric Circular Methods

1packages depend
4.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Maria Alonso-PenaFirst published 2013-03-147 releasesCRAN page ↗

Nonparametric smoothing methods for density and regression estimation and inference with circular data. The package provides kernel density estimation along with inferential tools such as circular SiZer for feature significance, mode estimation, and modal clustering. It includes multiple methods for selecting the smoothing parameter, allowing users to optimize the trade-off between bias and variance. Various plotting functions help visualize estimated densities, modes, clusters, and significance features. For regression, the package implements nonparametric estimation of the mean regression function as well as other conditional characteristics, including modal regression and generalized regression. Bandwidth selection is also supported in the regression context, and testing procedures are available to assess structural features or effects in circular regression models.

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    12 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
70%
Documented parameters
86%
Return-value docs
100%
References docs
84%

Downloads

4.9K
CRAN downloads in the past year
Rank #9,035 · ~13/day · ~410/mo
Daily download trend is not available in this view yet.
25930 days
1K90 days
4.9K1 year
Compare downloads with other packages →
Also on471 r2u15 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0circular
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (7)
Maintainer (1)
Author, Maintainer
Authors (6)
Other (1)
Data contributor
Listed in earlier versions (1)
no longer listed · 3.1.2 to 3.2.1
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.2.1Latest
    2026-02-20 · current release · diff ↗
  • 3.1.2
    2025-11-12 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 3.1.1
    2022-11-10 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 3.0.1
    2021-07-22 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
Show 6 earlier events
  • 2.0.1
    2014-10-16 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 2.0.0
    2013-10-23 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0.0
    2013-03-14
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-03-14
Total releases
7 / 13 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
401 KB / 16 files
Download size
299 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NPCirc")
Alonso-Pena, M., Ameijeiras-Alonso, J., Crujeiras, R. M., Gijbels, I., Oliveira, M., Rodriguez-Casal, A., & Scapini, F. (2026). NPCirc: Nonparametric Circular Methods (Version 3.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.NPCirc

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NPCirc version 3.2.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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