summary.smmSAR {PartialNetwork}

Summarizing SMM Estimation of SAR model

Description

Summary and print methods for the class smmSAR.

Usage

## S3 method for class 'smmSAR'
summary(object, .fun, .args, sim = 30, ncores = 1, dnetwork, data, ...)

## S3 method for class 'summary.smmSAR'
print(x, ...)

## S3 method for class 'smmSAR'
print(x, dnetwork, .fun, .args, sim = NULL, ncores = 1, data, ...)

Arguments

object

an object of class "smmSAR", output of the function smmSAR.

.fun, .args

are used to simulate from the distribution of dnetwork. .fun is the simulator function where .args is a list of its arguments. Typically do.call(.fun, .args) is supposed to simulate one dnetwork from the distribution.

sim

the number of simulations of dnetwork.

ncores

the number of cores to be used for the simulation. Use a lot of cores for fast simulations.

dnetwork

a list, where the m-th elements is the matrix of link probability in the m-th sub-network.

data

optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If missing, the variables are taken from environment(formula), typically the environment from which smmSAR is called.

...

further arguments passed to or from other methods.

x

an object of class "summary.smmSAR" or "smmSAR", output of the functions summary.smmSAR or smmSAR.

Value

A list consisting of:

n.group

number of groups.

N

vector of each group size.

estimates

vector of estimated parameters.

formula

input value of formula.

contextual

input value of contextual.

fixed.effects

input value of fixed.effects.

smm.ctr

input value of smm.ctr.

details

other details of the model.