Package: GeNetIt 0.1-6

GeNetIt: Spatial Graph-Theoretic Genetic Gravity Modelling

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.

Authors:Jeffrey S. Evans [aut, cre], Melanie Murphy [aut]

GeNetIt_0.1-6.tar.gz
GeNetIt_0.1-6.zip(r-4.5)GeNetIt_0.1-6.zip(r-4.4)GeNetIt_0.1-6.zip(r-4.3)
GeNetIt_0.1-6.tgz(r-4.4-any)GeNetIt_0.1-6.tgz(r-4.3-any)
GeNetIt_0.1-6.tar.gz(r-4.5-noble)GeNetIt_0.1-6.tar.gz(r-4.4-noble)
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GeNetIt.pdf |GeNetIt.html
GeNetIt/json (API)
NEWS

# Install 'GeNetIt' in R:
install.packages('GeNetIt', repos = c('https://jeffreyevans.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jeffreyevans/genetit/issues

Datasets:
  • dps - Dps genetic distance matrix for Columbia spotted frog
  • ralu.model - Columbia spotted frog (Rana luteiventris) data for specifying gravity model. Note, the data.frame is already log transformed.
  • ralu.site - Subset of site-level spatial point data for Columbia spotted frog

On CRAN:

landscape-geneticsr-spatialspatialstatistics

4.26 score 9 stars 40 scripts 191 downloads 1 mentions 12 exports 51 dependencies

Last updated 1 years agofrom:3bf2831bee. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:adj_matrixarea.graph.statisticsbuild.node.datacompare.modelsdmatrix.dfflowgraph.metricsgraph.statisticsgravitygravity.esknn.graphnode.statistics

Dependencies:bootclassclassIntclicpp11crayonDBIdeldirdplyre1071exactextractrfansigenericsgeometriesglueigraphKernSmoothlatticelifecyclelwgeommagrittrMASSMatrixnlmepillarpkgconfigproxypurrrR6rasterRcpprlangs2sfsfheaderssfnetworksspspDataspdepstringistringrterratibbletidygraphtidyrtidyselectunitsutf8vctrswithrwk