Package: networkscaleup Title: Network Scale-Up Models for Aggregated Relational Data Version: 0.2-2 Authors@R: c(person("Ian", "Laga", , "ilaga25@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5164-4856")), person("Owen G.", "Ward", , "oward@sfu.ca", role = c("aut")), person("Anna L.", "Smith", role = c("aut")), person("Benjamin", "Vogel", role = c("aut")), person("Jieyun", "Wang", role = c("aut")), person("Le", "Bao", , "lebao@psu.edu", role = c("aut")), person("Xiaoyue", "Niu", , "Xiaoyue@psu.edu", role = c("aut"))) Description: Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, through the use of Stan and 'glmmTMB'. Also provides tools for model checking In this version, the package implements models from Laga, I., Bao, L., and Niu, X (2023) , Zheng, T., Salganik, M. J., and Gelman, A. (2006) , Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard, H. R. (1998) , and Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen, E. C. (1998) . License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.3 Biarch: true Depends: R (>= 4.1.0) Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.26.0), LaplacesDemon (>= 16.1.6), dplyr, ggplot2, scales, stats, readr, tibble, tidyr, rlang, glmmTMB, gridExtra, purrr, stringr, trialr, tidyselect, RMTstat LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.26.0), StanHeaders (>= 2.26.0) SystemRequirements: GNU make Suggests: rmarkdown, knitr VignetteBuilder: knitr LazyData: true NeedsCompilation: yes Packaged: 2026-06-24 15:34:13 UTC; root Author: Ian Laga [aut, cre] (), Owen G. Ward [aut], Anna L. Smith [aut], Benjamin Vogel [aut], Jieyun Wang [aut], Le Bao [aut], Xiaoyue Niu [aut] Maintainer: Ian Laga URL: https://github.com/ilaga/networkscaleup Config/pak/sysreqs: cmake make libicu-dev libx11-dev Repository: https://ilaga.r-universe.dev Date/Publication: 2026-06-24 15:15:11 UTC RemoteUrl: https://github.com/ilaga/networkscaleup RemoteRef: HEAD RemoteSha: f24808647e581e4cc2ccc68b2d5caad7982ebfc0