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.

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Description file content

Package
colorednoise
Type
Package
Title
Simulate Temporally Autocorrelated Populations
Version
1.0.3
Date
2018-05-31
Author
Julia Pilowsky
Maintainer
Julia Pilowsky
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) . Models for unstructured populations and for structured populations (matrix models) are available.
License
GPL-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
RoxygenNote
6.0.1
Encoding
UTF-8
LazyData
true
BugReports
http://github.com/japilo/colorednoise/issues
Suggests
ggplot2 (>= 2.2.1), knitr (>= 1.17), rmarkdown (>= 1.6), testthat (>= 1.0.2), covr (>= 3.0.0)
VignetteBuilder
knitr
NeedsCompilation
yes
Packaged
2018-05-31 19:04:13 UTC; Julia
Repository
CRAN
Date/Publication
2018-06-01 12:30:13 UTC

install.packages('colorednoise')

1.0.3

a month ago

Julia Pilowsky

GPL-3

Depends on

R (>= 3.3.0)

Imports

stats (>= 3.3.2), dplyr (>= 0.7.3), purrr (>= 0.2.3), tidyr (>= 0.8.0)

Suggests

ggplot2 (>= 2.2.1), knitr (>= 1.17), rmarkdown (>= 1.6), testthat (>= 1.0.2), covr (>= 3.0.0)

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