https://mc-stan.org/r-packages/>) or 'rstan', depending on user setup. Users can generate realistic interaction data where individual phenotypes influence and respond to those of their partners, with control over sampling design parameters such as the number of individuals, partners, and repeated dyads. The simulation framework allows flexible control over variation and correlation in mean trait values, social responsiveness, and social impact, making it suitable for research on interacting phenotypes and on direct and indirect genetic effects ('DGEs' and 'IGEs'). The package also includes functions to fit and compare alternative models of social effects, including impact–responsiveness, variance–partitioning, and trait-based models, and to summarise model performance in terms of bias and dispersion. For more details on the study of social interactions and impact-responsiveness, see Moore et al. (1997) <doi:10.1111/j.1558-5646.1997.tb01458.x> and de Groot et al. (2022) <doi:10.1016/j.neubiorev.2022.104996>.">

socialSim: Simulate and Analyse Social Interaction Data (original) (raw)

Provides tools to simulate and analyse datasets of social interactions between individuals using hierarchical Bayesian models implemented in Stan. The package interacts with Stan via 'cmdstanr' (available from <https://mc-stan.org/r-packages/>) or 'rstan', depending on user setup. Users can generate realistic interaction data where individual phenotypes influence and respond to those of their partners, with control over sampling design parameters such as the number of individuals, partners, and repeated dyads. The simulation framework allows flexible control over variation and correlation in mean trait values, social responsiveness, and social impact, making it suitable for research on interacting phenotypes and on direct and indirect genetic effects ('DGEs' and 'IGEs'). The package also includes functions to fit and compare alternative models of social effects, including impact–responsiveness, variance–partitioning, and trait-based models, and to summarise model performance in terms of bias and dispersion. For more details on the study of social interactions and impact-responsiveness, see Moore et al. (1997) <doi:10.1111/j.1558-5646.1997.tb01458.x> and de Groot et al. (2022) <doi:10.1016/j.neubiorev.2022.104996>.

Version: 0.1.6
Depends: R (≥ 4.2)
Imports: MASS, stats, future, future.apply
Suggests: rstan, cmdstanr, devtools, testthat, rmarkdown, knitr
Published: 2025-10-30
DOI: 10.32614/CRAN.package.socialSim
Author: Rori Efrain WijnhorstORCID iD [aut, cre]
Maintainer: Rori Efrain Wijnhorst
BugReports: https://github.com/RoriWijnhorst/socialSim/issues
License: MIT + file
URL: https://github.com/RoriWijnhorst/socialSim
NeedsCompilation: no
Additional_repositories: https://stan-dev.r-universe.dev
Language: en-GB
Materials: README, NEWS
CRAN checks: socialSim results

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