Last data update: 2014.03.03

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Results 1 - 10 of 73 found.
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get.node.attr (Package: ergm) :

The get.node.attr function returns the vector of nodal covariates for the given network and specified attribute if the attribute exists - execution will halt if the attribute is not correctly given as a single string or is not found in the vertex attribute list; optionally get.node.attr will also check that return vector is numeric, halting execution if not. The purpose is to validate assumptions before passing attribute data into an ergm term.
● Data Source: CranContrib
● Keywords:
● Alias: get.node.attr
● 0 images

plot.network.ergm (Package: ergm) : Two-Dimensional Visualization of Networks

plot.network.ergm produces a simple two-dimensional plot of the network object x. A variety of options are available to control vertex placement, display details, color, etc. The function is based on the plotting capabilities of the network package with additional pre-processing of arguments. Some of the capabilites require the latentnet package. See plot.network in the network package for details.
● Data Source: CranContrib
● Keywords: graphs, hplot
● Alias: plot.network.ergm
● 0 images

as.edgelist (Package: ergm) :

Constructs an edgelist in the format expected by ergm's internal functions
● Data Source: CranContrib
● Keywords:
● Alias: as.edgelist.compressed
● 0 images

search.ergmTerms (Package: ergm) :

Searches through the ergm.terms help page and prints out a list of terms appropriate for the specified network's structural constraints, optionally restricting by additional categories and keyword matches.
● Data Source: CranContrib
● Keywords:
● Alias: search.ergmTerms
● 0 images

enformulate.curved (Package: ergm) :

The generic enformulate.curved converts an ergm object or formula of a model with curved terms to the variant in which the curved parameters embedded into the formula and are removed from the parameter vector. This is the form required by ergm calls.
● Data Source: CranContrib
● Keywords: model
● Alias: enformulate.curved, enformulate.curved.ergm, enformulate.curved.formula
● 0 images

Getting.Started (Package: ergm) :

ergm is a collection of functions to plot, fit, diagnose, and simulate from random graph models. For a list of functions type: help(package='ergm')
● Data Source: CranContrib
● Keywords: models, package
● Alias: Getting.Started
● 0 images

is.dyad.independent (Package: ergm) :

These functions test whether an ERGM fit or formula is dyad-independent.
● Data Source: CranContrib
● Keywords: model
● Alias: is.dyad.independent, is.dyad.independent.NULL, is.dyad.independent.conlist, is.dyad.independent.ergm, is.dyad.independent.ergm.model, is.dyad.independent.formula
● 0 images

summary.gofobject (Package: ergm) : Summaries the Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model

summary.gofobject summaries the diagnostics such as the degree distribution, geodesic distances, shared partner distributions, and reachability for the goodness-of-fit of exponential family random graph models. See ergm for more information on these models.
● Data Source: CranContrib
● Keywords: graphs
● Alias: print.gofobject, summary.gofobject
● 0 images

ergm.MHP.table (Package: ergm) : Table mapping reference,constraints, etc. to Metropolis Hastings Proposals (MHP)

This is a low-level function not intended to be called directly by end users. For information on Metropolis-Hastings proposal methods, ergm_MH_proposals. This function sets up the table mapping constraints, references, etc. to MHproposals. (It is defined in the scope of local environment)
● Data Source: CranContrib
● Keywords:
● Alias: ergm.MHP.table
● 0 images

is.durational (Package: ergm) :

These functions test whether an ERGM model or formula is durational dependent or not. If the formula or model does not include any terms that need information about the duration of existing ties, the ergm proceass can use more efficient internal data structures.
● Data Source: CranContrib
● Keywords: model
● Alias: is.durational, is.durational.NULL, is.durational.character, is.durational.ergm.model, is.durational.formula
● 0 images