colorednoise: Simulate Temporally Autocorrelated Populations

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: 1.0.3
Depends: R (≥ 3.3.0)
Imports: stats (≥ 3.3.2), dplyr (≥ 0.7.3), purrr (≥ 0.2.3), tidyr (≥ 0.8.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2 (≥ 2.2.1), knitr (≥ 1.17), rmarkdown (≥ 1.6), testthat (≥ 1.0.2), covr (≥ 3.0.0)
Published: 2018-06-01
Author: Julia Pilowsky
Maintainer: Julia Pilowsky <jap2178 at caa.columbia.edu>
BugReports: http://github.com/japilo/colorednoise/issues
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: colorednoise results

Downloads:

Reference manual: colorednoise.pdf
Vignettes: Simulate noise
Package source: colorednoise_1.0.3.tar.gz
Windows binaries: r-devel: colorednoise_1.0.3.zip, r-release: colorednoise_1.0.3.zip, r-oldrel: colorednoise_1.0.3.zip
OS X binaries: r-release: colorednoise_1.0.3.tgz, r-oldrel: colorednoise_1.0.3.tgz
Old sources: colorednoise archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=colorednoise to link to this page.