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multiScaleR  

Methods for Optimizing Scales of Effect
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("multiScaleR", "0.4.5")



Attach the package and use:
library("multiScaleR")
Maintained by
Bill Peterman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-02
Latest Update: 2025-09-02
Description:
A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2025) <doi:10.21203/rs.3.rs-7246115/v1>.
How to cite:
Bill Peterman (2025). multiScaleR: Methods for Optimizing Scales of Effect. R package version 0.4.5, https://cran.r-project.org/web/packages/multiScaleR. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.4.5 (2025-09-02 07:40), 0.5.0 (2026-03-26 23:30), 0.6.6 (2026-04-13 15:00)
Other packages that cited multiScaleR R package
View multiScaleR citation profile
Other R packages that multiScaleR depends, imports, suggests or enhances
Complete documentation for multiScaleR
Functions, R codes and Examples using the multiScaleR R package
Full multiScaleR package functions and examples
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