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GeNetIt
View on CRAN: Click
here
Download and install GeNetIt package within the R console
Install from CRAN:
install.packages("GeNetIt")
Install from Github:
library("remotes")
install_github("cran/GeNetIt") Install by package version:
library("remotes")
install_version("GeNetIt", "0.1-6") Attach the package and use:
library("GeNetIt")
Maintained by
Jeffrey S. Evans
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-10
Latest Update: 2023-06-15
Description:
Implementation of spatial graph-theoretic genetic gravity models.
The model framework is applicable for other types of spatial flow questions.
Includes functions for constructing spatial graphs, sampling and summarizing
associated raster variables and building unconstrained and singly constrained
gravity models.
How to cite:
Jeffrey S. Evans (2016). GeNetIt: Spatial Graph-Theoretic Genetic Gravity Modelling. R package version 0.1-6, https://cran.r-project.org/web/packages/GeNetIt. Accessed 10 Mar. 2026.
Previous versions and publish date:
Other packages that cited GeNetIt R package
View GeNetIt citation profile
Other R packages that GeNetIt depends,
imports, suggests or enhances
Complete documentation for GeNetIt
Functions, R codes and Examples using
the GeNetIt R package
Some associated functions: area.graph.statistics . build.node.data . compare.models . dmatrix.df . dps . flow . graph.statistics . gravity.es . gravity . knn.graph . node.statistics . plot.gravity . predict.gravity . print.gravity . ralu.model . ralu.site . rasters . summary.gravity .
Some associated R codes: area.graph.statistics.R . build.node.data.R . compare.models.R . dmatrix.df.R . dps-data.R . flow.R . graph.statistics.R . gravity.R . gravity.es.R . knn.graph.R . node.statistics.R . plot.gravity.R . predict.gravity.R . print.gravity.R . ralu.model-data.R . ralu.site-data.R . rasters-data.R . summary.gravity.R . Full GeNetIt package functions and examples
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