CRAN release version 1.17.0

Changes in netdiffuseR version 1.17.0 (2016-11-10)

New features and changes

• The title of the package is now Analysis of Diffusion and Contagion Processes
  on Networks.
• The function struct_test now allows other types of graphs. Before it only
  supported diffnet objects.
• The function rewire_graph gains a new argument for the algorithm "swap". Now
  to ensure aperiodicity in MCMC a chance of skiping a rewire has been included.
• The function n_rewires now has a default of 20 (before it was 100).
  This is based on Ray et al (2012) (more details in the manual).
• The function rgraph_ba gains a new argument, self=TRUE. By default behaves
  as before following Bollabas, but now can deviate to generate graphs with no
  autolinks.
• In rgraph_ba, the argument eta allows implementing De Almeida et al. (2013)
  Scale-free homophilic networks.
• The functions exposure and dgr are now pure R code (C++ functions were
  replace since there were no significant speed gains).
• diffnet class objects now have two new meta-values: name and behavior.
• Elements -graph-, -toa-, -adopt- and -cumadopt- in diffnet class objects
  have lost their dimnames (more efficient storage).
• classify_adopters now always includes Non-Adopters.

New functions

• vertex_covariate_dist computes distances between vertices using both the graph
  and a matrix of length nxK.
• vertex_mahalanobis_dist computes mahalanobis distance between vertices (as above).
• struct_test_asymp an asymptotic approximation of struct_test (not recomended).
• ego_variance computes a pseudo variance at the ego level (aux function for
  struct_test).
• transformGraphBy applies a function that transforms a graph considering
  structural zeros given by groups. Similar to the idea of the -by- option
  in struct_equiv.
• read_ucinet read UCINET binary files (both header and graph file). Still
  work in progress.
• plot.diffnet_degSeq method allows visualizing degree sequence as log-log
  plots (default).
• diag_expand creates a single adjacency matrix from a dynamic graph.
• summary.diffnet_adoptChange method generates a summary table of the df
  generated by select_egoalter.
• permute_graph permutes the values of an adjacency matrix (Conditional
  Uniform Graph).
• rewire_qap generates isomorphic graphs by "changing the labels".

Bug fixes

• ^.diffnet method was rasing to +1 power, e.g. diffnet^2 was actually
  diffnet^3.
• /.diffnet was not working.
• plot_diffnet was computing the coordinates of the cells wrongly. Most of the
  time causing adding figures outside of the plotting area.
• The c.diffnet_struct_test method was not updating the p.value.
• The function edgelist_to_adjmat was not processing correctly undirected
  graphs when the edgelist represented a lower triangular matrix.
• The function survey_to_diffnet had an issue processin dyn graph attrs returning
  errors. Now fixed.
• The function select_egoalter returned error when graph was an array.
• The method [[<-.diffnet failed when replacing a dynamic attribute with
  a NULL value (e.g. dn[["my_dyn_att"]] <- NULL).