summary.smmSAR: Summarizing SMM Estimation of SAR model

Description

Summary and print methods for the class smmSAR.

Usage

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

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.

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.