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.

SESraster: Raster Randomization for Null Hypothesis Testing

Randomization of presence/absence species distribution raster data with or without including spatial structure for calculating standardized effect sizes and testing null hypothesis. The randomization algorithms are based on classical algorithms for matrices (Gotelli 2000, <doi:10.2307/177478>) implemented for raster data.

Version: 0.7.1
Depends: R (≥ 2.10)
Imports: graphics, methods, rlang, stats, terra, utils
Suggests: kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-10-22
DOI: 10.32614/CRAN.package.SESraster
Author: Neander Marcel Heming ORCID iD [aut, cre, cph], Flávio M. M. Mota ORCID iD [aut], Gabriela Alves-Ferreira ORCID iD [aut]
Maintainer: Neander Marcel Heming <neanderh at yahoo.com.br>
BugReports: https://github.com/HemingNM/SESraster/issues
License: GPL (≥ 3)
URL: https://CRAN.R-project.org/package=SESraster, https://github.com/HemingNM/SESraster, https://hemingnm.github.io/SESraster/
NeedsCompilation: no
Citation: SESraster citation info
Materials: README NEWS
CRAN checks: SESraster results

Documentation:

Reference manual: SESraster.pdf
Vignettes: Standardized effect sizes (source, R code)
Null model algorithms (source, R code)
Spatial null model algorithms in SESraster (source, R code)

Downloads:

Package source: SESraster_0.7.1.tar.gz
Windows binaries: r-devel: SESraster_0.7.1.zip, r-release: SESraster_0.7.1.zip, r-oldrel: SESraster_0.7.1.zip
macOS binaries: r-release (arm64): SESraster_0.7.1.tgz, r-oldrel (arm64): SESraster_0.7.1.tgz, r-release (x86_64): SESraster_0.7.1.tgz, r-oldrel (x86_64): SESraster_0.7.1.tgz
Old sources: SESraster archive

Reverse dependencies:

Reverse imports: divraster, phyloraster

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SESraster 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.