Implements IV-estimator and Bayesian estimator for linear-in-means Spatial Autoregressive (SAR) model (see LeSage, 1997 <doi:10.1177/016001769702000107>; Lee, 2004 <doi:10.1111/j.1468-0262.2004.00558.x>; Bramoullé et al., 2009 <doi:10.1016/j.jeconom.2008.12.021>), 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 <https://ahoundetoungan.com/files/Papers/PartialNetwork.pdf>).
Version: 1.1.0 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.0), Formula, formula.tools, abind, Matrix, parallel, doParallel, foreach, doRNG LinkingTo: Rcpp, RcppArmadillo (≥ 0.11.4.4.0), RcppEigen, RcppNumerical, RcppProgress Suggests: AER, knitr, rmarkdown, CDatanet, ggplot2, MASS Published: 2025-05-08 DOI: 10.32614/CRAN.package.PartialNetwork Author: Vincent Boucher [aut], Aristide Houndetoungan [cre, aut] Maintainer: Aristide Houndetoungan <ahoundetoungan at gmail.com> BugReports: https://github.com/ahoundetoungan/PartialNetwork/issues License: GPL-3 URL: https://github.com/ahoundetoungan/PartialNetwork NeedsCompilation: yes Materials: README NEWS CRAN checks: PartialNetwork results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=PartialNetwork to link to this page.
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