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netdiffuseR: netdiffuseR version 1.16.7

Authors: George G. Vega Yon; srdyal;

netdiffuseR: netdiffuseR version 1.16.7

Abstract

Changes in netdiffuseR version 1.16.7 (2016-07-07) Bug fixes Fixed bug in struct_equiv: When groupvar was a list (dynamic attr), the function returned error. Fixed bug in rewire_graph.array: Returned error when algorithm="swap" Fixed bug in rewire_graph: The option copy.first was not been applied correctly. In hist.diffnet_struct_test: ... now passed to hist.default. Fixed bug on egonet_attrs: The matrix method was returning with error. New features and changes plot_infectsuscept includes 2D kernel smoother via MASS::kde2d. infection, susceptibility and threshold now report NA for non-adopters or excluded variables. egonets_attrs now has new argument: self.attrs allows including ego's attributes as part of the outcome so it can be used by the user. plot_diffnet now uses igraph::plot.igraph for plotting instead threshold gains a new argument: lags now users can define threshold as exposure lags time periods prior to the time of adoption. By default is 0 so its exposure at the time of adoption. New functions New method c.diffnet_struct_test: A wrapper of boot:::c.boot. diffusionMap computes the required matrix to be used with image-like functions mapping a vertex covariate given a graph structure. n_rewires: computes a suggested number of rewires per step in order to attain unbiased graph samples. diffnetLapply: Apply throught periods on diffnet objects. Several new methods for the class diffnet. Now users can apply str, dimnames (so colnames and rownames), t, &, |, dim and %*%. drawColorKey: Handy function to draw a color key in the current plot. classify_adopters: As in Valente (1995), depending on time of adoption, adopters are classified as early adopters, early majority, late majority, and laggards. The function introduces a new class and has methods for ftable and plot. rescale_vertex_igraph: Helper function to fix the size of vertex when calling plot.igraph so that the size is proportional to the x-axis.

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