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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.
Version: | 1.1.2 |
Depends: | R (≥ 3.3.0) |
Imports: | stats (≥ 3.3.2), purrr (≥ 0.2.3), Rcpp (≥ 1.0.5), data.table (≥ 1.12.8) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | ggplot2 (≥ 2.2.1), knitr (≥ 1.17), rmarkdown (≥ 1.6), testthat (≥ 1.0.2), covr (≥ 3.0.0), pkgdown (≥ 1.1.0) |
Published: | 2024-02-28 |
DOI: | 10.32614/CRAN.package.colorednoise |
Author: | July Pilowsky |
Maintainer: | July Pilowsky <pilowskyj at caryinstitute.org> |
BugReports: | https://github.com/japilo/colorednoise/issues |
License: | GPL-3 |
NeedsCompilation: | yes |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | colorednoise results |
Reference manual: | colorednoise.pdf |
Vignettes: |
Simulate noise |
Package source: | colorednoise_1.1.2.tar.gz |
Windows binaries: | r-devel: colorednoise_1.1.2.zip, r-release: colorednoise_1.1.2.zip, r-oldrel: colorednoise_1.1.2.zip |
macOS binaries: | r-release (arm64): colorednoise_1.1.2.tgz, r-oldrel (arm64): colorednoise_1.1.2.tgz, r-release (x86_64): colorednoise_1.1.2.tgz, r-oldrel (x86_64): colorednoise_1.1.2.tgz |
Old sources: | colorednoise archive |
Reverse imports: | WaverideR |
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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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