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 22 Dec. 2024.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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