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SESraster  

Raster Randomization for Null Hypothesis Testing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SESraster", "0.7.1")



Attach the package and use:
library("SESraster")
Maintained by
Neander Marcel Heming
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-22
Latest Update: 2024-10-22
Description:
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, ) implemented for raster data.
How to cite:
Neander Marcel Heming (2023). SESraster: Raster Randomization for Null Hypothesis Testing. R package version 0.7.1, https://cran.r-project.org/web/packages/SESraster. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 0.6.1 (2023-06-22 21:00), 0.6.2 (2023-07-06 02:14), 0.7.0 (2023-08-10 08:30)
Other packages that cited SESraster R package
View SESraster citation profile
Other R packages that SESraster depends, imports, suggests or enhances
Complete documentation for SESraster
Functions, R codes and Examples using the SESraster R package
Full SESraster package functions and examples
Downloads during the last 30 days

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