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.
- Version1.1.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- Last release02/28/2024
Documentation
Team
July Pilowsky
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests6 packages
- Linking To2 packages
- Reverse Imports1 package