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 |