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colorednoise

1.1.2Package record

Simulate Temporally Autocorrelated Populations

1packages depend
3.9Kdownloads / year
61.2%test coverage
0/13flavors OK

Overview

About

Temporally autocorrelated populations are correlated in their vital rates (growth, death, etc.) from year to year. It is very common for populations, whether they be bacteria, plants, or humans, to be temporally autocorrelated. This poses a challenge for stochastic population modeling, because a temporally correlated population will behave differently from an uncorrelated one. This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation). The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) doi:10.1016/j.tree.2009.04.009. Models for unstructured populations and for structured populations (matrix models) are available.

Changes in 1.1.2
  • Debugged some issues with sparse matrices in matrix_model.

From NEWS.md in the release

Install

Health

CRAN checks
13NOTE
Check messages
NOTEDESCRIPTION meta-informationr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64

Missing dependency on R >= 4.1.0 because package code uses the pipe
  |> or function shorthand \(...) syntax added in R 4.1.0.
  File(s) using such syntax:
    ‘simulate_populations.R’

r-devel-windows-x86_64, r-oldrel-windows-x86_64, r-release-windows-x86_64

Missing dependency on R >= 4.1.0 because package code uses the pipe
  |> or function shorthand \(...) syntax added in R 4.1.0.
  File(s) using such syntax:
    'simulate_populations.R'

CRAN check page ↗

Slowest check: 6.5 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTENow
  • NOTE3 OK, 11 NOTE2026-04-22
  • ERROR3 OK, 10 NOTE, 1 ERROR2026-04-18
  • NOTE3 OK, 11 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.2
READMEYes · 118 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.2Citation fileNo
Help pages
10 (1 internal)includes a package overview page
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

3.9K
CRAN downloads in the past year
Rank #9,223 · ~11/day · ~324/mo
Daily download trend is not available in this view yet.
40230 days
1K90 days
3.9K1 year
Compare downloads with other packages →
Also on366 r2u2 autocran

Repository

10Stars
1Forks
0Open issues
0Open PRs
8Releases
119Commits
2Commit identities
r
119 commits · Last activity 2024-04-11 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
27

Stars over time

2024-07-24 · 102026-07-07 · 10
PracticesBeta

9 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/japilo/colorednoise on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (2)
README.Rmd

GitHub Pages site last deployed 2024-04-11

Coverage (1)
Coverage reporting (Codecov)
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 2 practices
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing colorednoise adds 10 packages (9 with compiled code, 12 MB of source tarballs). Heaviest: data.table 5.7 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.3.0
Imports (4)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer · added in 1.1.1

Maintainer since 0.0.1 (2017)

Listed in earlier versions (2)
Elizabeth Crone
no longer listed · 0.0.1 to 0.0.2
Julia Pilowsky
no longer listed · 0.0.1 to 1.1.0
Releases (9)

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
  • 1.1.2Latest
    record
    2024-02-28 · current release · diff ↗
  • 1.1.1
    record
    2023-09-22 · diff ↗
  • 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
  • 1.1.0
    record
    2020-08-05 · diff ↗ ·
    added 1 export
    stdev_transform
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.5
    record
    2019-09-27 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.4
    record
    2019-01-23 · diff ↗
  • 1.0.3
    record
    2018-06-01 · diff ↗
  • 1.0.1
    record
    2018-05-21 · diff ↗ ·
    removed 5 exports
    raw_estim, raw_estim_loop, raw_noise, raw_noise_loop, timeseries
    added 6 exports
    colored_multi_rnorm, colored_noise, cor2cov, matrix_model, multi_rnorm, unstructured_pop
  • R
    R 3.5.0 released · 2018-04-23
Show 3 earlier eventsHide 3 earlier events

Package metadata

First published
2017-10-10
Total releases
9 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.3.0
Download size
164 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("colorednoise")
Pilowsky, J. (2024). colorednoise: Simulate Temporally Autocorrelated Populations (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.colorednoise

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 colorednoise version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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