Other packages > Find by keyword >

Explore topics

By keyword . Oldest R packages . Newest R packages . Top downloaded R packages . Datasets . Archived R packages . Top downloaded last week . Top downloaded yesterday

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

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 21 Nov. 2024.

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

Downloads during the last 30 days

Get rewarded with contribution points by helping add

Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

kgschart

KGS Rank Graph Parser

Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency

Maintainer: Kota Mori (view profile)

deductive

Data Correction and Imputation Using Deductive Methods

Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency

Maintainer: Mark van der Loo (view profile)

RcppHNSW

'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors

'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency

Maintainer: James Melville (view profile)

pkgdepends

Package Dependency Resolution and Downloads

Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency

Maintainer: Gábor Csárdi (view profile)

crossrun

Joint Distribution of Number of Crossings and Longest Run

Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency

Maintainer: Tore Wentzel-Larsen (view profile)

SCBiclust

Identifies Mean, Variance, and Hierarchically Clustered Biclusters

Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency

Maintainer: Erika S. Helgeson (view profile)