Other packages > Find by keyword >

colorednoise  

Simulate Temporally Autocorrelated Populations
View on CRAN: Click here


Download and install colorednoise package within the R console
Install from CRAN:
install.packages("colorednoise")

Install from Github:
library("remotes")
install_github("cran/colorednoise")

Install by package version:
library("remotes")
install_version("colorednoise", "1.1.2")



Attach the package and use:
library("colorednoise")
Maintained by
July Pilowsky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-10
Latest Update: 2024-02-28
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) . Models for unstructured populations and for structured populations (matrix models) are available.
How to cite:
July Pilowsky (2017). colorednoise: Simulate Temporally Autocorrelated Populations. R package version 1.1.2, https://cran.r-project.org/web/packages/colorednoise. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2017-10-10 14:43), 0.0.2 (2018-01-30 20:02), 1.0.1 (2018-05-21 21:59), 1.0.3 (2018-06-01 14:30), 1.0.4 (2019-01-23 13:50), 1.0.5 (2019-09-27 15:10), 1.1.0 (2020-08-05 17:50), 1.1.1 (2023-09-22 18:40)
Other packages that cited colorednoise R package
View colorednoise citation profile
Other R packages that colorednoise depends, imports, suggests or enhances
Complete documentation for colorednoise
Functions, R codes and Examples using the colorednoise R package
Some associated functions: autocorr_sim . autocorrelation . colored_multi_rnorm . colored_noise . colorednoise . cor2cov . matrix_model . multi_rnorm . stdev_transform . unstructured_pop . 
Some associated R codes: RcppExports.R . colorednoise.R . simulate_populations.R . utils.R .  Full colorednoise package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA