summary.cdnet {CDatanet}

Summary for the estimation of count data models with social interactions under rational expectations

Description

Summary and print methods for the class cdnet as returned by the function cdnet.

Usage

## S3 method for class 'cdnet'
summary(object, Glist, data, S = 1000L, ...)

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

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

Arguments

object

an object of class cdnet, output of the function cdnet.

Glist

adjacency matrix. For networks consisting of multiple subnets, Glist can be a list of subnets with the m-th element being an ns*ns adjacency matrix, where ns is the number of nodes in the m-th subnet. For heterogenous peer effects (e.g., boy-boy, boy-girl friendship effects), the m-th element can be a list of many ns*ns adjacency matrices corresponding to the different network specifications (see Houndetoungan, 2024). For heterogeneous peer effects in the case of a single large network, Glist must be a one-item list. This item must be a list of many specifications of large networks.

data

an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which summary.cdnet is called.

S

number of simulations to be used to compute integral in the covariance by important sampling.

...

further arguments passed to or from other methods.

x

an object of class summary.cdnet, output of the function summary.cdnet or class cdnet, output of the function cdnet.

Value

A list of the same objects in object.