R package wraping Bayesian models for Aggregated Relational Data (ARD) relevant for the Network Scale-Up Method (NSUM) and degree estimation. The package includes models by Zheng, Salganik, and Gelman (2006), Maltiel et al. (2015), Baum and Marsden (2023)
The package relies on instantiate (Landau 2023) to embed Stan models in an R package.
See package’s webpage at https://coalesce-lab.github.io/stansum/.
Installation
You can install the development version of stansum from GitHub with:
# install.packages("remotes")
remotes::install_github("coalesce-lab/stansum")or soon from https://coalesce-lab.r-universe.dev/builds.
Acknowledgements
Michał Bojanowski thanks European Research Council for support through grant 101020038 (PI Miranda Lubbers, COALESCE Lab, UAB) http://patchwork-erc.eu/.
References
Baum, Derick S., and Peter V. Marsden. 2023. “Uses and Limitations of Dichotomous Aggregate Relational Data.” Social Networks 74 (July): 42–61. https://doi.org/10.1016/j.socnet.2023.02.001.
Landau, William Michael. 2023. Instantiate: Pre-Compiled CmdStan Models in r Packages.
Maltiel, Rachael, Adrian E. Raftery, Tyler H. McCormick, and Aaron J. Baraff. 2015. “Estimating Population Size Using the Network Scale Up Method.” The Annals of Applied Statistics 9 (3): 1247–77. https://doi.org/10.1214/15-AOAS827.
Zheng, Tian, Matthew J. Salganik, and Andrew Gelman. 2006. “How Many People Do You Know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks.” Journal of the American Statistical Association 101 (474): 409–23. https://doi.org/10.1198/016214505000001168.