sparseAdjMat.to.NetInd

Network represented as a sparse adjacency matrix (S4 class object <code>dgCMatrix</code> from package <code>Matrix</code>).
NOTE: The friends (row numbers) of observation <code>i</code> are assumed to be listed in column <code>i</code>
(i.e, <code>which(s</code>

sparseAdjMat

Trim the maximum number of friends to this integer value. If this argument is not missing,
the conversion network matrix obtained from <code>sparseAdjMat</code> will be trimmed, so that each observation has at most <code>trimKmax</code> friends.
The trimm

trimKmax

Convert network represented by a sparse adjacency matrix into <code>simcausal</code> network IDs matrix (<code>NetInd_k</code>).

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.

sparseAdjMat.to.NetInd: Convert Network from Sparse Adjacency Matrix into Network IDs Matrix

Description

Usage

Arguments

Value

See Also