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Releases: USCCANA/netdiffuseR

CRAN v1.22.6

09 Oct 20:08
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CRAN Release 1.19.0

30 Oct 18:12
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Changes in netdiffuseR version 1.19.0 (2017-10-16)

New functions and features

  • rdiffnet now allows passing scalars for threshold.dist, more over, the user
    can also ask the function to just warn when there is no diffusion instead of
    returning with error.

  • plot.diffnet, plot_diffnet, plot.diffnet_mentor, and plot_diffnet2 use igraph for plotting.
    Also, users can now pass "degree" for -vertex.size- (vertex.cex not used anymore),
    allowing to "automatically" scale vertices by (in/out/.)degree. Also,
    plotting arguments like vertex.* or edge.* are standarized so these match igraph.

  • plot_diffnet has a new parameter: background.

  • rdiffnet_multiple, a wrapper of rdiffnet, allows performing simulations studies
    by running simulating multiple diffusion networks using rdiffnet.

  • exposure has a new parameter: lags. By default lags = 0, returns a lagged
    exposure matrix.

Bug fixes

  • igraph_to_diffnet was failing with the graph had no weights.

  • drop_isolated was not behaving well for diffnet objects.

  • vertex_covariate_dist was incorrectly specified. Only the default p=2
    were OK. Now fixed and the tests/ folder includes a tests on this.

  • plot_diffnet2 was not passing color.ramp to drawColorKey. Now fixed.

  • plot.diffnet_mentor had a bug. Uncesary permutation of vertices was done,
    but it actually had no visible effect. Similar problem was corrected in
    diffnet_to_igraph, and other plot methods using igraph for plotting.

Other changes

  • Replacing some C functions by R functions in cases in which there
    was no decrease in performance.

  • plot_diffnet function now has smaller margins, so looks more appealing.

  • New examples in vignettes "netdiffuseR showcase: Medical Innovations", and
    "Simulating diffusion networks: Using the rdiffnet function".

CRAN Release 1.18.0

20 Jul 06:12
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Changes in netdiffuseR version 1.18.0 (2017-07-16)

New functions

  • bootnet implements network bootstrapping based on Snijders and Borgatti (1999)

  • mentor_matching implements Valente and Davis (1999) Mentor matching algorithm.
    including a plot method.

  • approx_geodesic an alternative to igraph::distances and sna::geodist.
    computes geodesics up to a certain number of steps and returns a sparse
    matrix.

  • matrix_compare Efficiently compares two sparse matrices looking only at the valued
    cells.

  • as_dgCMatrix Coerce matrix-like objects into dgCMatrix objects (sparse matrices
    from the Matrix package).

  • fitbass Fits the Bass Diffusion Model to an observed vector of cumulative
    adopters. The estimation is done via stats::nls.

  • netmatch and netmatch_prepare (on development) implement matching estimators
    with network data.

Bugs Fixes

  • dgr returned with error when self == TRUE

  • In some calls to igraph::graph_from_adj... sorting of vertices was not preserved.

  • The matrix method in egonet_attrs was passing a list of vertices instead of
    the attributes. Fixed.

  • transformGraphBy was returning with error when the time periods ranged other than
    1, 2, ...

New Features

  • rgraph_er is now significantly faster (orders of magnitude compare to
    previous versions). rgraph_ba is faster too.

  • moran now returns the sd, expected and p-value.

  • exposure now receives static graphs in alt.graph with a warning.

  • rewire_graph now also uses QAP. This affects directly to structu_test.

CRAN release version 1.17.0

11 Nov 05:47
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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).

CRAN release version 1.16.7

08 Jul 00:07
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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.

CRAN release v1.16.5

02 Jun 18:31
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Preparing for CRAN after PR to RcppArmadillo

v1.16.4.4.9500

04 Apr 17:11
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v1.16.4.4.9500 Pre-release
Pre-release
Changing version naming (.9500 for dev version)

Pre-workshop

30 Mar 05:26
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Pre-workshop Pre-release
Pre-release

Pre-release. Changes from CRAN to this point can be reviewed here: https://github.com/USCCANA/netdiffuseR/blob/c7c25c143a05b209bbb9b8b4c10b242179c7c79d/NEWS.md

Binary versions can be installed either within R:

> install.packages("netdiffuseR_1.16.3.29.zip", repos=NULL)

if windows, or, if OS X:

> install.packages("netdiffuseR_1.16.3.29.tgz", repos=NULL)

or using the command line, for the case of windows:

$ R CMD INSTALL netdiffuseR_1.16.3.29.zip