Package: stansum
Title: Bayesian Models for Aggregated Relational Data and Network
        Scale-Up Method
Version: 1.0.1
Authors@R: 
    c(
      person("Michal", "Bojanowski",
        email = "michal2992@gmail.com", role = c("aut", "cre"), 
        comment = c(ORCID = "0000-0001-7503-852X")),
      person("Derick S.", "Baum", 
        email = "derick_baum@brown.edu", role = "aut",
        comment = c(ORCID = "0000-0001-7539-6749")),
      person("European Research Council", role = "fnd", 
        comment = "Supported MB through grant 101020038 (PI Miranda Lubbers) <http://patchwork-erc.eu/en>")
    )
Description: Interface to various precompiled Stan models for
        Aggregated Relational Data that estimate, among other things,
        network degrees. Includes models by Zheng et al (2006)
        <doi:10.1198/016214505000001168>, Maltiel et al (2015)
        <doi:10.1214/15-AOAS827>, Baum & Marsden (2023)
        <doi:10.1016/j.socnet.2023.02.001>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Depends: R (>= 3.4.0)
Imports: instantiate (>= 0.2.3)
Additional_repositories: https://mc-stan.org/r-packages/
SystemRequirements: CmdStan
        (https://mc-stan.org/users/interfaces/cmdstan)
Suggests: cmdstanr (>= 0.5.2), knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
LazyData: true
URL: https://coalesce-lab.github.io/stansum/
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: cmake make libuv1-dev
Repository: https://coalesce-lab.r-universe.dev
Date/Publication: 2026-09-22 14:01:19 UTC
RemoteUrl: https://github.com/coalesce-lab/stansum
RemoteRef: HEAD
RemoteSha: 8975af2a86b72a2f29a3cbec88c9f1775d807824
NeedsCompilation: yes
Packaged: 2026-10-10 15:32:39 UTC; root
Author: Michal Bojanowski [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7503-852X>),
  Derick S. Baum [aut] (ORCID: <https://orcid.org/0000-0001-7539-6749>),
  European Research Council [fnd] (Supported MB through grant 101020038
    (PI Miranda Lubbers) <http://patchwork-erc.eu/en>)
Maintainer: Michal Bojanowski <michal2992@gmail.com>