Other packages > Find by keyword >

ANTs  

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
First Published: 2021-11-10
Latest Update:
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 25 Jun. 2026.
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
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA