Package: PartialNetwork 1.0.4

PartialNetwork: Estimating Peer Effects Using Partial Network Data

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>).

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

PartialNetwork_1.0.4.tar.gz
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PartialNetwork_1.0.4.tgz(r-4.4-x86_64)PartialNetwork_1.0.4.tgz(r-4.4-arm64)PartialNetwork_1.0.4.tgz(r-4.3-x86_64)PartialNetwork_1.0.4.tgz(r-4.3-arm64)
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PartialNetwork.pdf |PartialNetwork.html
PartialNetwork/json (API)
NEWS

# Install 'PartialNetwork' in R:
install.packages('PartialNetwork', repos = c('https://ahoundetoungan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ahoundetoungan/partialnetwork/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblascppopenmp

5.56 score 7 stars 13 scripts 538 downloads 15 exports 18 dependencies

Last updated 9 months agofrom:d184535241. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 16 2025
R-4.5-win-x86_64OKJan 16 2025
R-4.5-linux-x86_64OKJan 16 2025
R-4.4-win-x86_64OKJan 16 2025
R-4.4-mac-x86_64OKJan 16 2025
R-4.4-mac-aarch64OKJan 16 2025
R-4.3-win-x86_64OKJan 16 2025
R-4.3-mac-x86_64OKJan 16 2025
R-4.3-mac-aarch64OKJan 16 2025

Exports:dvMFfit.dnetworklogCpvMFmat.to.vecmcmcARDmcmcSARnorm.networkpeer.avgremove.idsrvMFsim.dnetworksim.IVsim.networksmmSARvec.to.mat

Dependencies:abindcodetoolsdigestdoParalleldoRNGforeachFormulaformula.toolsiteratorslatticeMatrixoperator.toolsRcppRcppArmadilloRcppEigenRcppNumericalRcppProgressrngtools

PartialNetwork: An R package for estimating peer effects using partial network information

Rendered fromPartialNetwork_vignette.Rmdusingknitr::rmarkdownon Jan 16 2025.

Last update: 2024-05-21
Started: 2022-06-03