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localgauss

0.41Package record

Estimating Local Gaussian Parameters

1packages depend
3.9Kdownloads / year
–test coverage
9/13flavors OK

Overview

About

Computational routines for estimating local Gaussian parameters. Local Gaussian parameters are useful for characterizing and testing for non-linear dependence within bivariate data. See e.g. Tjostheim and Hufthammer, Local Gaussian correlation: A new measure of dependence, Journal of Econometrics, 2013, Volume 172 (1), pages 33-48 DOI:10.1016/j.jeconom.2012.08.001.

Install

Health

CRAN checks
4NOTE9OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Tore Selland Kleppe <tore.kleppe@uis.no>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Tore", "Selland"),
                    family = "Kleppe",
                    role = c("aut", "cre"),
                    email = "tore.kleppe@uis.no")
as necessary.

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.
NOTEcompiled coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
File ‘localgauss/libs/localgauss.so’:
  Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.

CRAN check page ↗

Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • NOTE9 OK, 4 NOTENow
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.41
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
71%
Return-value docs
67%
Help pages citing references
100%

Downloads

3.9K
CRAN downloads in the past year
Rank #16,712 · ~11/day · ~322/mo
Daily download trend is not available in this view yet.
27530 days
75990 days
3.9K1 year
Compare downloads with other packages →
Also on353 r2u3 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing localgauss adds 20 packages (8 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (from the free-text Author field) (1)

Maintainer since 0.3 (2012)

Releases (11)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • 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
  • R
    R 3.1.0 released · 2014-04-10
  • 3.0.3Latest
    record
    2014-02-10 · current release · diff ↗
  • 3.0.1
    record
    2013-04-29 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
Show 10 earlier eventsHide 10 earlier events

Package metadata

First published
2012-12-04
Total releases
11 / 14 yrs
License
GPL-2 OSI
Download size
55 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("localgauss")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v056.i12.

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 localgauss version 0.41 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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