NetIndClass

This R6 class defines fields and methods for creating and storing <code>NetInd_k</code>,
a matrix of friend indices (network IDs) of <code>dim = (nobs x Kmax)</code>.

class

A flexible tool for simulating complex longitudinal data using
    structural equations, with emphasis on problems in causal inference.
    Specify interventions and simulate from intervened data generating
    distributions. Define and evaluate treatment-specific means, the average
    treatment effects and coefficients from working marginal structural models.
    User interface designed to facilitate the conduct of transparent and
    reproducible simulation studies, and allows concise expression of complex
    functional dependencies for a large number of time-varying nodes. See the
    package vignette for more information, documentation and examples.

Oleg Sofrygin

simcausal

Simulating Longitudinal Data with Causal Inference Applications

NetIndClass function

An <code><a href="/link/R6Class?package=simcausal&version=0.5.0" rd-options="" data-mini-rdoc="simcausal::R6Class">R6Class</a></code> generator object

NetIndClass: R6 class for creating and storing a friend matrix (network IDs) for network data

Description

Usage

Arguments

format

Details