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set.seed(); rpanet() due to
potential cross-platform inconsistencies.directed in
rpanet() into initial.network;
rpanet(nstep = 1e4, initial.network = list(directed = TRUE)).isolates in clustcoef()
to accept binary input.distribution, dparams and
shift arguments from both
rpa_control_newedge() and
rpa_control_edgeweight(); the new argument
sampler accepts a function used for sampling the number of
new edges and edge weights.print.rpacontrol() and
summary.wdnet().binary method due to negligible performance gain.wdnet
objects.wdnet and rpacontrol
objects.rpanet.
seednetwork to initial.network and
changed seednetwork = NULL to
initial.network = list(edgelist = matrix(c(1, 2), nrow = 1));control = NULL to
control = list();naive to linear;
nodelist to bag; edgesampler to
bagx;rpanet control functions:
rpactl.foo() to rpa_control_foo().cvxr.control() to
cvxr_control().dprewire and
dprewire.range.
eta and corresponding assortativity
levels.CVXR.rpactl.preference.rpanet with binary approach:
renamed node structures (fix LTO issues).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.