datageneration

The <code>datageneration()</code> function generates artificial ring-network data
by simulation.
The function is used in the package vignette.

Estimating causal parameters in the presence of treatment spillover is of great interest in statistics.
This package provides tools for instrumental variables estimation of average causal effects under network interference of unknown form.
The target parameters are the local average direct effect, the local average indirect effect, the local average overall effect, and the local average spillover effect.
The methods are developed by Hoshino and Yanagi (2023) <doi:10.48550/arXiv.2108.07455>.

Takahide Yanagi

latenetwork

Inference on LATEs under Network Interference of Unknown Form

Tadao Hoshino

datageneration function

<dl><dt>n</dt>
<dd>The sample size</dd></dl>

Arguments

Generate Artificial Data by Simulation — datageneration

<dl>

<dt>n</dt>
<dd>The sample size</dd>

</dl>

datageneration: Generate Artificial Data by Simulation

Description

Usage

Value

Arguments

Examples