ant | ANT diagnostic for permuted statistics |
assoc.gfi | Generalized affiliation index |
assoc.indices | Association indices |
assoc_mat | Association indexes |
assoc_mat_full | Association indexes |
assoc_mat_one_id | Association indexes for one individual |
check.df | Data frame ANT check |
check.id | Data frame ANT ID check |
check.mat | Matrix ANT check |
convert.socprog | Converts Socprog data frame |
df.col.findId | Finds a data frame index |
df.create | Creates an empty data frame or a list of empty data frames |
df.create.single | Creates an empty data frame. |
df.ctrlFactor | Creates a column that merges multiple columns |
df_merge | Merge two data frames |
df_to_gbi | Group by individual matrix. |
df.to.gbi | Data frame to GBI. |
df.to.gbi.focal | Converts a data frame of individual associations into a group... |
df.to.mat | Data frame to a matrix |
edgl.to.grp | Dyadic data frame (edge list) to linear group by individual... |
edgl_to_matrix | Edge list to matrix |
error_matrix | Errors related to matrices |
gbi_createEmpty | Empty group by individual matrix |
gbi.to.df | Group by individual matrix to linear data frame of... |
grp.to.edgl | Linear group by individual data frame to dyadic data frame... |
import.df | Imports data frames |
import.mat | Imports matrices |
laplacian_energy_degrees | Laplacian energy. |
ldf_merge | Merge list of data frames |
listDf_merge_single_column | Merge columns of a List of data frames. |
list_lapply | Lapply function |
list_to_df | List to data frame. |
mat_binaryzation | Matrix binarization. |
mat.binaryzation | Matrix binarization. |
mat_cols_sums | From Column Sums. |
mat_col_sumsBinary | Binary version of column sum. |
mat_dim | Dimensions of a matrix |
mat_filter | Matrix filtering |
mat_find0 | Find zeros in a Matrix. |
mat_isSquare | Is square. |
mat.lp | Laplacian matrix |
mat_row_extract | Extract matrix row. |
mat_rows_sums | From row Sums. |
mat_rows_sumsBinary | Binary version of row sum. |
mat.symetrize | Symmetrizes matrix |
mat.to.edgl | Matrix to edge list |
mat.vectorization | Matrix vectorization |
merge.met | Merge data frame with metric |
met | ANT Graphical User Interface (GUI) |
met.affinity | Affinity |
met.affinity.single | Affinity |
met.all | All node metrics |
met.alterDegree | Alters sum or average of met.degree or met.strength. |
met.assortativity | Assortativity |
met.assortativityCat | Assortativity |
met.assortatvityContinuous | Continuous assortativity |
met.betweenness | Betweenness centrality |
met.betweenness.single | Betweenness centrality |
met.ci | Centralisation index |
met.ci.single | Centralisation index |
met.coutTriangles | Calculates the number of triangles in a network |
met.degree | Degree |
met.degree.single | Degree on single matrix |
met.density | Density |
met.dge.single | Average Dyadic Efficiency |
met.diameter | Diameter |
met.disparity | Disparity |
met.disparity.single | Disparity |
met.eigen | Eigenvector Centrality |
met.eigen.single | Eigenvector Centrality |
met.ge | Global efficiency |
met.geodesic | Geodesic distances |
met.geodesicDiameter.single | Geodesic distances and diameter |
met.ge.single | Global efficiency |
met.indegree | Indegree |
met.indegree.single | Indegree |
met.instrength | Instrength |
met.instrength.single | Instrength |
met.lp | Laplacian centrality |
met.lpcB | Binary symetric Laplacian centrality |
met.lpcentEvcent | Laplacian centrality |
met.lpcW | Wheigthed symetric Laplacian centrality |
met.lpEnergyEigen | Laplacian energy. |
met.lp.single | Symetric Laplacian centrality |
met.outdegree | Outdegree |
met.outdegree.single | Outdegree |
met.outstrength | Outstrength |
met.outstrength.single | Outstrength |
met.reach | Reach centrality |
met.reach.single | Reach centrality |
met.ri | R-Index |
met.ri.single | R-Index |
met_strength | strength |
met.strength | Strength |
met.strength.single | Strength |
nodeskMetrics | ANTs tcltk GUI code. |
nodeskMetrics2 | Interpret ANT GUI output |
perm_dataStream1 | Data Stream gambit of the group Permutations without control... |
perm_dataStream1_focal | Data Stream gambit of the group Permutations without control... |
perm_dataStream_ControlFactor | Data Stream gambit of the group Permutations with control... |
perm.dataStream.focal | Converts a data frame of individual associations into a group... |
perm.dataStream.group | Data stream permutation for association data |
perm.ds.focal | Data stream permutation for focal sampling data . |
perm.ds.grp | Data stream permutation for association data |
perm.edgl | Edge list link permutations on an edgelist |
perm_matVec | Vectorize matrix permutation |
perm.met.degree.single | Link perm keeping structure on a single matrix |
perm.net.degree | Link permutation keeping the structure |
perm.net.links.single | Matrix edge permutations |
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 |
perm.net.nl.str.single | Nodes labels permutation keeping network structure |
perm_net_weigths | Edgelist weigths permutations |
perm.net.weigths | Network weigths permutation |
perm_nl_rf | Node lable permutation with random factors |
perm.nodeLabel | Node label permutations |
perm_nodeLabels | Node label permutations. |
perm.redo | Repeats a permutation according to random factors |
perm_vec_factor | Permute factor vector. |
perm_vec_int | Vector permutations. |
post.dist | Histogram of posterior distribution |
redo.ds.focal.cum | Function for cumulative permutations for symmetric behaviour... |
redo.ds.focal.glm | Focal Data stream Recursive function for error found in... |
redo.ds.focal.glmm | Focal Data stream Recursive function for error found in... |
redo.ds.focal.lm | Focal Data stream Recursive function for error found in... |
redo.ds.grp | gambit of the group data stream function for error found in... |
redo_perm_dataStream_1 | Data Stream gambit of the group cumulative permutations... |
redo_perm_dataStream1_focal | Data Stream gambit of the group Permutations without control... |
redo_perm_dataStream_ControlFactor | Data Stream gambit of the group cumulative permutations with... |
redo_perm_dataStream_ControlFactor_scd | Data Stream gambit of the group cumulative permutations with... |
redo_perm_dataStream_focal | Data Stream Focal Sampling cumulative permutations without... |
redo.perm.ds.grp.cum | Function for cumulative permutations on a data frame of... |
redo.perm.ds.grp.cum.scd | cumulative permutations on GBI or GBI with control factors |
redo.perm.net.nl.str | Redo 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.ci | Confidence interval |
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... |
stat.lm | Extracts statistical measures of interest in Linear Model |
stat.model.diag | Diagnostic plot for lm, glm, lmer,glmer models |
stat.p | P-value |
stat.t | T-test on data frame |
stat.tauKr | Matrix TauKr correlations |
stat.tauKrPartial | Partial matrix TauKr correlations |
stat.tauKrPartialPermSig | Partial matrix TauKr correlations |
stat.tauKrPermSig | Matrix TauKr correlations |
stat.tauKrSimple | Matrix TauKr correlations |
tauSD | TauKr standard deviation |
time.heterogeneity | Create a matrix of time of observation per dyades |
tobs_to_mat | Control heterogeneity of time of observation |
vec_char_as_factor | As factor |
vec_char_extract_IdValue | Extract vector elements |
vec_fill | Merge |
vec_intersect | intersect |
vec_levels | Uniques |
vec_lowertri_to_mat | Vector to matrix lower triangle |
vec_num_extract_IdValue | Extract ID |
vec_sample | Vector sample |
vec_sum | Sum |
vec_to_mat | Vector to matrix |
vec_to_mat_add_diag | Vector to matrix and adding diag |
vec_unique | Vector uniques |
vec_vec_multiply | Vectors multiply |
vec_vec_sum | Vectors multiply |
vis.hist | Histogram of posterior distribution |
vis.net | Network vizualisation |
which_equal | Equal |
which.metric | Which metric to choose |
which.protocol | Which metric to choose |
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