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: 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 08 Apr. 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
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
03/0903/1003/1203/1303/1503/1603/2003/2103/2203/2303/2803/2904/06Downloads for ANTs12345678910TrendBars

Today's Hot Picks in Authors and Packages

ssc  
Semi-Supervised Classification Methods
Provides a collection of self-labeled techniques for semi-supervised classification. In semi-superv ...
Download / Learn more Package Citations See dependency  
sybil  
Efficient Constrained Based Modelling
This Systems Biology Package Gelius-Dietrich et. al. 2012 doi10.11861752-0509-7-125 implements algor ...
Download / Learn more Package Citations See dependency  
icr  
Compute Krippendorff's Alpha
Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
dave  
Functions for "Data Analysis in Vegetation Ecology"
A collection of functions accompanying the book "Data Analysis in Vegetation Ecology". 3rd ed. CABI, ...
Download / Learn more Package Citations See dependency  
seasonalclumped  
Toolbox for Clumped Isotope Seasonality Reconstructions
Compiles a set of functions and dummy data that simplify reconstructions of seasonal temperature va ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

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