Package: colorednoise 1.1.2

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.

Authors:July Pilowsky [aut, cre]

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colorednoise.pdf |colorednoise.html✨
colorednoise/json (API)
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Bug tracker:https://github.com/japilo/colorednoise/issues

On CRAN:

9 exports 10 stars 2.11 score 10 dependencies 1 dependents 1 mentions 18 scripts 385 downloads

Last updated 5 months agofrom:29ce2cbac3. Checks:OK: 9. Indexed: yes.

Exports:autocorr_simautocorrelationcolored_multi_rnormcolored_noisecor2covmatrix_modelmulti_rnormstdev_transformunstructured_pop

Dependencies:clidata.tablegluelifecyclemagrittrpurrrRcppRcppArmadillorlangvctrs