colorednoise (1.0.5)

0 users

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) . Models for unstructured populations and for structured populations (matrix models) are available.

Maintainer: Julia Pilowsky
Author(s): Julia Pilowsky [aut, cre] (<>)

License: GPL-3

Uses: dplyr, purrr, tibble, tidyr, ggplot2, testthat, knitr, rmarkdown, covr, pkgdown

Released 4 months ago.

5 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of colorednoise yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for colorednoise on google, google scholar, r-help, r-devel.

Visit colorednoise on R Graphical Manual.