Package: colorednoise
Type: Package
Title: Simulate Temporally Autocorrelated Populations
Version: 1.1.2
Date: 2024-02-23
Authors@R: c(
    person("July", "Pilowsky", email = "pilowskyj@caryinstitute.org", 
    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6376-2585")
    ))
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>
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)
        <doi:10.1016/j.tree.2009.04.009>. Models for unstructured
        populations and for structured populations (matrix models) are
        available.
License: GPL-3
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats (>= 3.3.2), purrr (>= 0.2.3), Rcpp (>= 1.0.5),
        data.table (>= 1.12.8)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.1
Encoding: UTF-8
BugReports: https://github.com/japilo/colorednoise/issues
Suggests: ggplot2 (>= 2.2.1), knitr (>= 1.17), rmarkdown (>= 1.6),
        testthat (>= 1.0.2), covr (>= 3.0.0), pkgdown (>= 1.1.0)
VignetteBuilder: knitr
Repository: https://japilo.r-universe.dev
Date/Publication: 2024-04-11 20:20:50 UTC
RemoteUrl: https://github.com/japilo/colorednoise
RemoteRef: HEAD
RemoteSha: 29ce2cbac3bdd2e9472c5db3d8caaddd73343a9f
NeedsCompilation: yes
Packaged: 2026-07-04 06:52:14 UTC; root
Author: July Pilowsky [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-6376-2585>)