CRAN/E | colorednoise

colorednoise

Simulate Temporally Autocorrelated Populations

Installation

About

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.

Bug report File report

Key Metrics

Version 1.1.2
R ≥ 3.3.0
Published 2024-02-28 52 days ago
Needs compilation? yes
License GPL-3
CRAN checks colorednoise results
Language en-US

Downloads

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Maintainer

Maintainer

July Pilowsky

pilowskyj@caryinstitute.org

Authors

July Pilowsky

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Simulate noise

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

colorednoise archive

Depends

R ≥ 3.3.0

Imports

stats ≥ 3.3.2
purrr ≥ 0.2.3
Rcpp ≥ 1.0.5
data.table ≥ 1.12.8

Suggests

ggplot2 ≥ 2.2.1
knitr ≥ 1.17
rmarkdown ≥ 1.6
testthat ≥ 1.0.2
covr ≥ 3.0.0
pkgdown ≥ 1.1.0

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

WaverideR