TNT-ergmProposal-6a5bc996: Default MH algorithm
In statnet/ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks
TNT-ergmProposal R Documentation
Default MH algorithm
Description
Stratifies the population of dyads
edge status: those having ties and those having no ties (hence T/NT).
This is useful for improving performance in sparse networks,
because it gives at least 50\
Details
\Sexpr[results=rd,stage=render]{ergm:::.formatProposalsHtml(ergm:::.buildProposalsList(proposal="TNT"))}
See Also
ergmProposal for index of proposals currently visible to the package.
\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmProposal", "TNT", "subsection")}
statnet/ergm documentation built on April 17, 2024, 12:21 p.m.
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| TNT-ergmProposal | R Documentation |
Default MH algorithm
Description
Stratifies the population of dyads edge status: those having ties and those having no ties (hence T/NT). This is useful for improving performance in sparse networks, because it gives at least 50\
Details
\Sexpr[results=rd,stage=render]{ergm:::.formatProposalsHtml(ergm:::.buildProposalsList(proposal="TNT"))}See Also
ergmProposal for index of proposals currently visible to the package.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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