The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

multiScaleR: Methods for Optimizing Scales of Effect

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>.

Version: 0.4.5
Depends: R (≥ 4.3), terra, sf
Imports: Rcpp, Matrix, cowplot, dplyr, fields, ggplot2, insight, stats, utils, unmarked, exactextractr, crayon, parallel, optimParallel, AICcmodavg, methods, pscl
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2025-09-02
Author: Bill Peterman ORCID iD [aut, cre]
Maintainer: Bill Peterman <Peterman.73 at osu.edu>
BugReports: https://github.com/wpeterman/multiScaleR/issues
License: GPL-3
URL: https://github.com/wpeterman/multiScaleR
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: multiScaleR results

Documentation:

Reference manual: multiScaleR.html , multiScaleR.pdf
Vignettes: multiScaleR User Guide (source, R code)

Downloads:

Package source: multiScaleR_0.4.5.tar.gz
Windows binaries: r-devel: not available, r-release: multiScaleR_0.4.5.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): multiScaleR_0.4.5.tgz, r-oldrel (x86_64): multiScaleR_0.4.5.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multiScaleR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.