![]() nestedcontribution: Calculates the per-species contribution to nestedness.nested: Calculates any of several measures of nestedness.ND: Normalised degree, betweenness and closeness centrality.motten1982: A spring flower visitation network from North Carolina, USA.mosquin1967: Flower visitation network from Melville Island, Northwest.modulesLPA: Functions "LPA_wb_plus" and "DIRT_LPA_wb_plus".mgen: Generate simulated network according to a given probability.memmott1999: Flower visitation network from a meadow near Bristol, UK.listModuleInformation: listModuleInformation.linklevel: Indices of a bipartite network at the link level.kevan1970: A pollination network from Northern Ellesmere Island, Canada.of individuals caught in a pollination web of a Japanese. inouye1988: A pollination network from the Snowy Mountains of New South.H2fun: Specialisation of a bipartite web.grouplevel: Analysis of bipartite webs at the level of each of the two.genweb: Generate a random bipartite web.frame2webs: Converts a table of observations into a network matrix.fc: Calculates the functional complementarity for the rows of a.extinction: Simulates extinction of a species from a bipartite network.endpoint: Computes end-point degrees for a bipartite network.empty: Deletes empty rows and columns from a matrix.of visits in a pollination web of arctic-alpine Sweden distance_w: Distance in a weighted network.discrepancy: Calculates discrepancy of a matrix.dfun: Calculates standardised specialisation index d' (d prime) for.degreedistr: Fits functions to cumulative degree distributions of both.decimalr2dtable: Generates matrix with same marginal totals for non-negative.czvalues: Computes c and z for network modules.C.score: Calculates the (normalised) mean number of checkerboard.clustering_tm: Redefined clustering coefficient for two-mode networks.closeness_w: Closeness centrality in a weighted network.bipartite-package: Analysis of bipartite ecological webs.bezerra2009: Individuals observed in a flower-visitation network of.betweenness_w: Betweenness centrality in a weighted network.betalinkr: Calculate network dissimilarity (beta diversity) and its.barrett1987: Individuals caught in a pollination web in boreal Canada.as.tnet: Ensures that networks conform to the tnet stardards. ![]() as.one.mode: Conversion of a network matrix.array2linkmx: Reshape a webarray to a web X link matrix.
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