R/networkscaleup-package.R

#' The 'networkscaleup' package.
#'
#' @description Provides a variety of Network Scale-up Models for researchers to
#'   analyze Aggregated Relational Data, mostly through the use of Stan.
#'
#' @docType package
#' @name networkscaleup-package
#' @aliases networkscaleup
#' @useDynLib networkscaleup, .registration = TRUE
#' @import methods
#' @import Rcpp
#' @importFrom rstan sampling
#'
#' @references Stan Development Team (2021). RStan: the R interface to Stan. R
#' package version 2.21.3. https://mc-stan.org
#'
#' Laga, I., Bao, L., and Niu, X (2021). A Correlated Network Scaleup Model:
#' Finding the Connection Between Subpopulations
#'
#' Zheng, T., Salganik, M. J., and Gelman, A. (2006). How many people do you
#' know in prison, \emph{Journal of the American Statistical Association},
#' \bold{101:474}, 409--423
#'
#' Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard,
#' H. R. (1998). A Social Network Approach to Estimating Seroprevalence in the
#' United States, \emph{Social Networks}, \bold{20}, 23--50
#'
#' Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen,
#' E. C. (1998). Estimation of Seroprevalence, Rape and Homelessness in the
#' United States Using a Social Network Approach, \emph{Evaluation Review},
#' \bold{22}, 289--308
#'
#'
#'
NULL

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networkscaleup documentation built on May 29, 2024, 10:29 a.m.