colorednoise

Simulate Temporally Autocorrelated Population Time Series

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>. The simulations are based on an assumption of an asexually reproducing population, but it can also be used to simulate females of a sexually reproducing species.

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Description file content

Package
colorednoise
Type
Package
Title
Simulate Temporally Autocorrelated Population Time Series
Version
0.0.1
Description
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) . The simulations are based on an assumption of an asexually reproducing population, but it can also be used to simulate females of a sexually reproducing species.
Depends
R (>= 3.3.2)
Imports
dplyr (>= 0.7.3), purrr (>= 0.2.3), stats (>= 3.3.2)
License
GPL-3
Encoding
UTF-8
LazyData
true
BugReports
http://github.com/japilo/colorednoise/issues
RoxygenNote
6.0.1
Suggests
ggplot2 (>= 2.2.1), knitr (>= 1.17), rmarkdown (>= 1.6), testthat (>= 1.0.2)
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2017-10-10 10:42:52 UTC; Julia
Author
Julia Pilowsky [aut, cre], Elizabeth Crone [ctb]
Maintainer
Julia Pilowsky
Repository
CRAN
Date/Publication
2017-10-10 12:43:14 UTC

install.packages('colorednoise')

0.0.1

13 days ago

Julia Pilowsky

GPL-3

Depends on

R (>= 3.3.2)

Imports

dplyr (>= 0.7.3), purrr (>= 0.2.3), stats (>= 3.3.2)

Suggests

ggplot2 (>= 2.2.1), knitr (>= 1.17), rmarkdown (>= 1.6), testthat (>= 1.0.2)

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