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ANTs

Star Watch Copy Code

Animal Network Toolkit Software

View on CRAN: Click here

Download and install ANTs package within the R console
Install from CRAN:

 install.packages("ANTs")

Install from Github:

 library("remotes")

                        install_github("cran/ANTs")

Install by package version:

 library("remotes")

                        install_version("ANTs", "0.0.16")

Attach the package and use:

 library("ANTs")

Maintained by
Sosa Sebastian
[Scholar Profile | Author Map]

All associated links for this package

https://CRAN.R-project.org/package=ANTs .

First Published: 2021-11-10

Latest Update: 2023-09-26

Description:

How animals interact and develop social relationships in face of sociodemographic and ecological pressures is of great interest. New methodologies, in particular Social Network Analysis (SNA), allow us to elucidate these types of questions. However, the different methodologies developed to that end and the speed at which they emerge make their use difficult. Moreover, the lack of communication between the different software developed to provide an answer to the same/different research questions is a source of confusion. The R package Animal Network Toolkit 'ANTs' was developed with the aim of implementing in one package the different social network analysis techniques currently used in the study of animal social networks. Hence, ANT is a toolkit for animal research allowing among other things to: 1) measure global, dyadic and nodal networks metrics; 2) perform data randomization: pre- and post-network (node and link permutations); 3) perform statistical permutation tests as correlation test (), t-test (), General Linear Model (), General Linear Mixed Model (), deletion simulation (), 'Matrix TauKr correlations' (). The package is partially coded in C++ using the R package 'Rcpp' for an optimal coding speed. The package gives researchers a workflow from the raw data to the achievement of statistical analyses, allowing for a multilevel approach (): from the individual's position and role within the network, to the identification of interaction patterns, and the study of the overall network properties. Furthermore, ANT also provides a guideline on the SNA techniques used: 1) from the appropriate randomization technique according to the data collected; 2) to the choice, the meaning, the limitations and advantages of the network metrics to apply, 3) and the type of statistical tests to run. The ANT project is multi-collaborative, aiming to provide access to advanced social network analysis techniques and to create new ones that meet researchers' needs in future versions. The ANT project is multi-collaborative, aiming to provide access to advanced social network analysis techniques and to create new ones that meet researchers' needs in future versions.

How to cite:

Sosa Sebastian (2021). ANTs: Animal Network Toolkit Software. R package version 0.0.16, https://cran.r-project.org/web/packages/ANTs. Accessed 28 Mar. 2025.

Previous versions and publish date:

0.0.1 (2021-11-10 17:10), 0.0.13 (2021-11-20 02:30), 0.0.14 (2022-03-24 00:10), 0.0.15 (2022-04-05 11:30), 0.0.16 (2022-07-03 00:20)

Other packages that cited ANTs R package

View ANTs citation profile

Other R packages that ANTs depends, imports, suggests or enhances

View ANTs dependency map

Functions, R codes and Examples using the ANTs R package

Some associated functions: ant . assoc.gfi . assoc.indices . assoc_mat . assoc_mat_full . assoc_mat_one_id . check.df . check.id . check.mat . convert.socprog . df.col.findId . df.create . df.create.single . df.ctrlFactor . df.to.gbi.focal . df.to.gbi . df.to.mat . df_merge . df_to_gbi . edgl.to.grp . edgl_to_matrix . error_matrix . gbi.to.df . gbi_createEmpty . grp.to.edgl . import.df . import.mat . laplacian_energy_degrees . ldf_merge . listDf_merge_single_column . list_lapply . list_to_df . mat.binaryzation . mat.lp . mat.symetrize . mat.to.edgl . mat.vectorization . mat_binaryzation . mat_col_sumsBinary . mat_cols_sums . mat_dim . mat_filter . mat_find0 . mat_isSquare . mat_row_extract . mat_rows_sums . mat_rows_sumsBinary . merge.met . met.affinity . met.affinity.single . met.all . met.alterDegree . met.assortativity . met.assortativityCat . met.assortatvityContinuous . met.betweenness . met.betweenness.single . met.cc . met.ci . met.ci.single . met.coutTriangles . met.degree . met.degree.single . met.density . met.dge.single . met.diameter . met.disparity . met.disparity.single . met.eigen . met.eigen.single . met.ge . met.ge.single . met.geodesic . met.geodesicDiameter.single . met.indegree . met.indegree.single . met.instrength . met.instrength.single . met.lp . met.lp.single . met.lpEnergyEigen . met.lpcB . met.lpcW . met.lpcentEvcent . met.outdegree . met.outdegree.single . met.outstrength . met.outstrength.single . met.reach . met.reach.single . met.ri . met.ri.single . met.strength . met.strength.single . met_strength . perm.dataStream.focal . perm.dataStream.group . perm.double.focal . perm.double.focal.single . perm.double.grp . perm.double.grp.single . perm.ds.focal . perm.ds.grp . perm.edgl . perm.met.degree.single . perm.net.degree . perm.net.links.single . perm.net.lk . perm.net.lk.w . perm.net.nl . perm.net.nl.str . perm.net.nl.str.single . perm.net.weigths . perm.nodeLabel . perm.redo . perm_dataStream1 . perm_dataStream1_focal . perm_dataStream_ControlFactor . perm_matVec . perm_net_weigths . perm_nl_rf . perm_nodeLabels . perm_vec_factor . perm_vec_int . post.dist . redo.ds.focal.cum . redo.ds.focal.glm . redo.ds.focal.glmm . redo.ds.focal.lm . redo.ds.grp . redo.perm.ds.grp.cum . redo.perm.ds.grp.cum.scd . redo_perm_dataStream1_focal . redo_perm_dataStream_1 . redo_perm_dataStream_ControlFactor . redo_perm_dataStream_ControlFactor_scd . redo_perm_dataStream_focal . sampling.effort . sampling.robustness . sampling.uncertainty . sim.df . sim.focal.directed . sim.focal.undirected . sim.gbi.att . sim.gbi . sim.grp . sim.m . sim.socprog . stat.ci . stat.cor . stat.deletions . stat.deletionsPlot . stat.glm . stat.glmm.no.first.model . stat.glmm . stat.glmm.parallel . stat.lm . stat.model.diag . stat.p . stat.t . stat.tauKr . stat.tauKrPartial . stat.tauKrPartialPermSig . stat.tauKrPermSig . stat.tauKrSimple . tauSD . time.heterogeneity . tobs_to_mat . vec_char_as_factor . vec_char_extract_IdValue . vec_fill . vec_intersect . vec_levels . vec_lowertri_to_mat . vec_num_extract_IdValue . vec_sample . vec_sum . vec_to_mat . vec_to_mat_add_diag . vec_unique . vec_vec_multiply . vec_vec_sum . vis.post.distribution . vis.post.distribution2 . which.metric . which.protocol . which_equal .
Some associated R codes: RcppExports.R . ant.R . assoc.gfi.R . assoc.indices.R . check.df.R . check.id.R . check.matrix.R . convert.socprog.R . df.col.findId.R . df.create.R . df.create.single.R . df.ctrlFactor.R . df.to.gbi.R . df.to.gbi.focal.R . df.to.mat.R . edgl.to.grp.R . error_matrix.R . gbi.to.df.R . grp.to.edgl.R . import.df.R . import.mat.R . mat.binaryzation.R . mat.lp.R . mat.symetrize.R . mat.to.edgl.R . mat.vectorization.R . merge.met.R . met.GE.single.R . met.affinity.R . met.affinity.single.R . met.all.single.mat.R . met.alterDegree.R . met.assortativity.R . met.assortativityCat.R . met.betweenness.R . met.betweenness.single.R . met.cc.R . met.ci.R . met.ci.single.R . met.coutTriangles.R . met.degree.R . met.degree.single.R . met.density.R . met.dge.single.R . met.diameter.R . met.disparity.R . met.disparity.single.R . met.eigen.R . met.eigen.single.R . met.ge.R . met.geodesic.R . met.geodesicDiameter.single.R . met.indegree.R . met.indegree.single.R . met.instrength.R . met.instrength.single.R . met.lp.R . met.lp.single.R . met.lpEnergyDegree.R . met.lpEnergyEigen.R . met.lpcB.R . met.lpcW.R . met.lpcentEvcent.R . met.outdegree.R . met.outdegree.single.R . met.outstrength.R . met.outstrength.single.R . met.reach.R . met.reach.single.R . met.ri.R . met.ri.single.R . met.strength.R . met.strength.single.R . onLoad.R . perm.dataStream.focal.R . perm.dataStream.group.R . perm.degree.single.R . perm.double.focal.R . perm.double.focal.single.R . perm.double.grp.R . perm.double.grp.single.R . perm.ds.focal.R . perm.ds.grp.R . perm.edgl.R . perm.net.degree.R . perm.net.links.R . perm.net.links.single.R . perm.net.lk.w.R . perm.net.nl.R . perm.net.nl.str.R . perm.net.weigths.R . perm.nodeLabel.R . perm.p.R . perm.redo.R . post.dist.R . redo.ds.focal.cum.R . redo.ds.focal.glm.R . redo.ds.focal.lm.R . redo.ds.grp.glm.R . redo.ds.grp.lm.R . redo.perm.ds.focal.R . redo.perm.ds.focal.cum.scd.R . redo.perm.ds.grp.R . sampling.effort.R . sampling.robustness.R . sampling.uncertainty.R . sim.df.R . sim.focal.directed.R . sim.focal.undirected.R . sim.gbi.R . sim.gbi.att.R . sim.grp.R . sim.m.R . sim.socprog.R . stat.ci.R . stat.cor.R . stat.deletions.R . stat.deletionsPlot.R . stat.glm.R . stat.glmm.R . stat.glmm.no.first.model.R . stat.glmm.parallel2.R . stat.lm.R . stat.model.diag.R . stat.p.R . stat.t.R . stat.tauKr.R . stat.tauKrPartial.R . stat.tauKrPartialPermSig.R . stat.tauKrPermSig.R . stat.tauKrSimple.R . tauSD.R . time.heterogeneity.R . vis.post.distribution.R . vis.post.distribution2.R . which.metric.R . which.protocol.R . Full ANTs package functions and examples

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