Estimating Peer Effects Using Partial Network Data

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 ).


Reference manual

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install.packages("PartialNetwork")

1.1.2 by Aristide Houndetoungan, a year ago


https://github.com/ahoundetoungan/PartialNetwork


Report a bug at https://github.com/ahoundetoungan/PartialNetwork/issues


Browse source code at https://github.com/cran/PartialNetwork


Authors: Vincent Boucher [aut] , Aristide Houndetoungan [cre, aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, Formula, formula.tools, abind, Matrix, parallel, doParallel, foreach, doRNG

Suggests ivreg, knitr, rmarkdown, ggplot2, MASS, dplyr

Linking to Rcpp, RcppArmadillo, RcppEigen, RcppNumerical, RcppProgress


Suggested by AsyPeer, QuantilePeer.


See at CRAN