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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.