bccm()
: fixed bug that returned wrongly filled omegaBlock matrix. The bug should not have affected the model fit itself.extended testing scripts of package
bug fixes:
logl()
and rghype()
: fixed bug that treated as a hypergeometric model a ghype where all odds are equal to 0. Throws error instead.compute_xi()
: Fixed a bug that introduced spurious stubs for nodes with zero degrees when creating a Xi matrix without selfloopslink_significance()
: fixed bug when under=TRUE, updated implementation to improve performanceghype()
: fixed computation of degrees of freedom for full model where xi has zero valueslink_significance()
: When calling with under = FALSE and pval = FALSE was returning phi(0) = 1 instead of Pr(x>0)linkSignificance()
--> link_significance()
ComputeXi()
--> compute_xi()
new features
get_zero_dummy()
that generates the dummy variable to be used together with endogenous statistics functions.check_specs()
: recognize bipartite graphsaddressed issue #15: bccm now names coefficients according to label names. E.g.: coefficient for the propensities between block 'red' and 'blue' are now named 'red<->blue'.
bug fixes:
scm()
: fixed df for bipartite graphslinkSignificance()
: fixed issue for bipartite graphsbccm()
: fixed issue when fitting to bipartite graphsbccm()
: fixed issue arising when passing a list of identical labels (all vertices in one block)NEWS.md
file to track changes to the package.check_specs()
that threw an error when the function was called without additional parameters.bccm()
to improve its speed when passing a large number of labels.nrmSelection()
, createPredictors
, and nrmChoose()
to nrm_selection()
, create_predictors
, and nrm_choose()
respectively, to standardise functions' names.nrm_selection()
and nrm_choose()
to use 'pbmclapply' and show a progress bar.Add the following code to your website.
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