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colorednoise
View on CRAN: Click
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Download and install colorednoise package within the R console
Install from CRAN:
install.packages("colorednoise")
Install from Github:
library("remotes")
install_github("cran/colorednoise")
Install by package version:
library("remotes")
install_version("colorednoise", "1.1.2")
Attach the package and use:
library("colorednoise")
Maintained by
July Pilowsky
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-10
Latest Update: 2024-02-28
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.
How to cite:
July Pilowsky (2017). colorednoise: Simulate Temporally Autocorrelated Populations. R package version 1.1.2, https://cran.r-project.org/web/packages/colorednoise
Previous versions and publish date:
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imports, suggests or enhances
Functions, R codes and Examples using
the colorednoise R package
Some associated functions: autocorr_sim . autocorrelation . colored_multi_rnorm . colored_noise . colorednoise . cor2cov . matrix_model . multi_rnorm . stdev_transform . unstructured_pop .
Some associated R codes: RcppExports.R . colorednoise.R . simulate_populations.R . utils.R . Full colorednoise package functions and examples
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