Packaged: Fri Jun  8 11:16:18 2007; seth

Packaged: Thu Oct  4 13:43:24 2007; biocbuild

random.R write.tlp.R mat2graph.R settings.R zzz.R
Packaged: Wed Feb 13 01:55:57 2008; biocbuild

Packaged: Wed Apr 30 01:48:48 2008; biocbuild

Packaged: Thu Sep  4 13:40:24 2008; biocbuild

Packaged: Wed Oct 22 00:46:11 2008; biocbuild

Collate: AllClasses.R AllGenerics.R buildDepGraph.R methods-graph.R
graphfunctions.R GXLformals.R gxlReader.R random.R write.tlp.R
mat2graph.R settings.R zzz.R standardLabeling.R TODOT.R
Packaged: 2009-04-29 08:19:25 UTC; biocbuild

Packaged: 2009-11-12 08:50:48 UTC; biocbuild

Suggests: SparseM (>= 0.36), XML, RBGL, RUnit
Collate: AllClasses.R AllGenerics.R bitarray.R buildDepGraph.R
Packaged: 2010-04-22 22:18:33 UTC; biocbuild

Packaged: 2010-10-18 07:58:45 UTC; biocbuild

Suggests: SparseM (>= 0.36), XML, RBGL, RUnit, cluster
Packaged: 2011-04-14 06:12:13 UTC; biocbuild

Title: A Wrapper of the JavaScript Library 'vis-graph3d'
person("Stéphane", "Laurent", email = "laurent_step@outlook.fr",
role = c("aut", "cre"), comment = "R interface"),
person("B. V.", "Almende", role = c("aut", "cph"), comment = "vis.js library"),
person("vis.js contributors", role = c("aut", "cph")))
Description: Create interactive visualization charts to draw data in three dimensional graphs. The graphs can be included in Shiny apps and R markdown documents, or viewed from the R console and 'RStudio' Viewer. Based on the 'vis.js' Graph3d module and the 'htmlwidgets' R package.
Author: Stéphane Laurent [aut, cre] (R interface),
B. V. Almende [aut, cph] (vis.js library),

Title: Build Graphs for Landscape Genetics Analysis
Description: Build graphs for landscape genetics analysis. This set of
functions can be used to import and convert spatial and genetic data
initially in different formats, import landscape graphs created with
'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>,
make diagnosis plots of isolation by distance relationships in order to
choose how to build genetic graphs, create graphs with a large range of
pruning methods, weight their links with several genetic distances, plot
and analyse graphs,	compare them with other graphs. It uses functions from
(Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi
et Nepusz, 2006) <https://bit.ly/2028mcO>. It also implements methods
commonly used in landscape genetics to create graphs, described by Dyer et
Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data
Imports: stringr, adegenet, ade4, stats, Matrix, vegan, utils, methods,
pegas, Rdpack, MASS, igraph, doBy, ggplot2, mclust, tidyr, sp,
rgdal, sf, Imap, diveRsity, raster, ecodist