#' STRAND: Social network analysis and simulation in R using Stan
#'
#' The STRAND package provides four categories of important functions:
#' network simulation functions, network analysis functions, summary functions, and results visualization functions.
#'
#' If you use STRAND, please cite us:
#'
#' Ross, C. T., McElreath, R., and Redhead, D. (2024). Modelling animal network data in R using STRAND. Journal of Animal Ecology, 93(3), 254-266.
#'
#' Redhead, D., McElreath, R., and Ross, C. T. (2023). Reliable network inference from unreliable data: A tutorial on latent network modeling using STRAND. Psychological methods.
#'
#' @section Network simulation functions:
#'The package can be used to simulate network data under stochastic block models, social relations models, and latent network models.
#'These tools allow for simulation not only of realistic human social networks, but also allow researchers to simulate the effects of
#'potential biases—like respondents falsely reporting ties or failing to recall real ties—on network level properties.
#' @section Network analysis functions:
#'Users can specify complex Bayesian social network models using simple lm() style syntax.
#'Single-sampled self report data can be modeled using stochastic block models or the social relations model, with or with-out covariates.
#'Double-sampled network data can be modeled using a latent network approach that accounts for inter-respondent disagreement.
#' @section Summary functions:
#' Users can summarize Stan results into tables with a simple interface.
#' @section Visualization functions:
#' Users can visualize Stan results with a simple interface.
#'
#' @keywords internal
"_PACKAGE"
NULL
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