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PartialNetwork (version 1.1.2)

Estimating Peer Effects Using Partial Network Data

Description

Implements IV-estimator and Bayesian estimator for linear-in-means Spatial Autoregressive (SAR) model (see LeSage, 1997 ; Lee, 2004 ; Bramoullé et al., 2009 ), while assuming that only a partial information about the network structure is available. Examples are when the adjacency matrix is not fully observed or when only consistent estimation of the network formation model is available (see Boucher and Houndetoungan, 2025 ).

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install.packages('PartialNetwork')

Monthly Downloads

235

Version

1.1.2

License

GPL-3

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Maintainer

Aristide Houndetoungan

Last Published

November 10th, 2025

Functions in PartialNetwork (1.1.2)

summary.mcmcSAR

Summarizing Bayesian SAR Model
summary.smmSAR

Summarizing SMM Estimation of SAR model
sim.network

Simulating network data
vec.to.mat

Creating objects for network models
smmSAR

Simulated Method of Moments (SMM) Estimator of SAR model
simSAR

Simulating Linear Peer Effect Models
sim.dnetwork

Simulation of the distribution of the network for Breza et al. (2020)
sim.IV

Instrument Variables for SAR model
PartialNetwork-package

The PartialNetwork package
peer.avg

Computing peer average value
fit.dnetwork

Fitting Network Distribution using ARD.
dvMF

Density function of the von Mises-Fisher distribution
mcmcARD

Estimate network model using ARD
rvMF

Simulation from the von Mises-Fisher distribution
remove.ids

Removes IDs with NA in a list of adjacency matrices optimally
mcmcSAR

Bayesian Estimator of SAR model
plot.mcmcSAR

Plotting estimation of Bayesian SAR model
logCpvMF

Normalization constant of the von Mises-Fisher distribution