| ant | ANT diagnostic for permuted statistics |
| assoc.gfi | Generalized affiliation index |
| assoc.indices | Association indices |
| convert.socprog | Converts Socprog data frame |
| df.create | Creates an empty data frame or a list of empty data frames |
| df.to.gbi | Data frame to GBI. |
| df.to.mat | Data frame to a matrix |
| gbi.to.df | Group by individual matrix to linear data frame of association |
| import.df | Imports data frames |
| import.mat | Imports matrices |
| mat.to.edgl | Matrix to edge list |
| met.affinity | Affinity |
| met.assortativity | Assortativity |
| met.betweenness | Betweenness centrality |
| met.ci | Centralisation index |
| met.degree | Degree |
| met.density | Density |
| met.diameter | Diameter |
| met.disparity | Disparity |
| met.eigen | Eigenvector Centrality |
| met.ge | Global efficiency |
| met.geodesic | Geodesic distances |
| met.indegree | Indegree |
| met.instrength | Instrength |
| met.lp | Laplacian centrality |
| met.outdegree | Outdegree |
| met.outstrength | Outstrength |
| met.reach | Reach centrality |
| met.ri | R-Index |
| met.strength | Strength |
| perm.double.focal | Data stream permutation for focal sampling data . |
| perm.double.focal.single | Double permutation approach for focal sampling |
| perm.double.grp | Data stream permutation for association data |
| perm.double.grp.single | Double permutation approach for gambit of the group |
| perm.ds.focal | Data stream permutation for focal sampling data . |
| perm.ds.grp | Data stream permutation for association data |
| perm.net.degree | Link permutation keeping the structure |
| perm.net.lk | Matrix links permutations |
| perm.net.lk.w | Links weigths permutations |
| perm.net.nl | Node label permutations with or without random factor(s) |
| perm.net.nl.str | Nodes labels permutation keeping network structure |
| sampling.effort | Sampling effort |
| sampling.robustness | Metric robustness |
| sampling.uncertainty | Metric uncertainty |
| sim.df | Simulated data frame |
| sim.focal.directed | Focal sampling directed data |
| sim.focal.undirected | Focal sampling undirected data |
| sim.gbi | Group by individual (GBI) matrix |
| sim.gbi.att | Dyadic attributes for sim.gbi data |
| sim.grp | Simulated data collected through gambit of the group sampling |
| sim.m | Simulated Matrix of interactions |
| sim.socprog | Simulated Socprog data format |
| stat.cor | Correlation test on permuted data. |
| stat.deletions | Network target & random deletion simulations |
| stat.deletionsPlot | Plot for network deletion simulations |
| stat.glm | Permuted Generalized Linear Model |
| stat.glmm | Extracts statistical measures of interest in Generalized Linear Mixed Models |
| stat.glmm.no.first.model | Extracts statistical measures of interest in Generalized Linear Mixed Models |
| stat.glmm.parallel | Extracts statistical measures of interest in Generalized Linear Mixed Models in parallel |
| stat.lm | Extracts statistical measures of interest in Linear Model |
| stat.t | T-test on data frame |
| stat.tauKr | Matrix TauKr correlations |
| vis.post.distribution | Histogram of posterior distribution |
| vis.post.distribution2 | Histogram of posterior distribution |
| which.metric | Which metric to choose |
| which.protocol | Which metric to choose |