R/sspse-package.R

#' Estimating Hidden Population Size using Respondent Driven Sampling Data
#' 
#' An integrated set of tools to estimate the size of a networked population
#' based on respondent-driven sampling data. The "sspse" packages is part of
#' the "RDS Analyst" suite of packages for the analysis of respondent-driven
#' sampling data.  For a list of functions type:
#' help(package='sspse')
#' 
#' For a complete list of the functions, use \code{library(help="sspse")} or
#' read the rest of the manual.
#' 
#' When publishing results obtained using this package the original authors are
#' to be cited as:
#' 
#' Gile, Krista J. and Handcock, Mark S. (2018) \pkg{sspse}: Estimating Hidden 
#' Population Size using Respondent Driven Sampling Data
#' R package, Los Angeles, CA.  Version 0.8, \url{https://hpmrg.org/sspse/}.
#' 
#' All programs derived from this package must cite it. For complete citation
#' information, use\cr \code{citation(package="sspse")}.
#' 
#' The package can also be accessed via graphical user interface
#' provided by the \code{RDS Analyst} software. 
#' \code{RDS Analyst} software was designed to help researchers
#' visualize and analyze data collected via respondent-driven sampling designs.
#' It has a broad range of estimation and visualization capabilities.
#' 
#' For detailed information on how to download and install the software, go to
#' the Hard-to-Reach Population Methods Research Group website: \url{https://hpmrg.org/}.
#' A tutorial, support
#' newsgroup, references and links to further resources are provided there.
#' 
#' @name sspse-package
#' @docType package
#' @author Krista J. Gile \email{gile@@math.umass.edu},\cr
#' Mark S. Handcock \email{handcock@@stat.ucla.edu}
#' 
#' Maintainer: Mark S. Handcock \email{handcock@@stat.ucla.edu}
#' @references
#' 
#' Gile, Krista J. (2008) \emph{Inference from Partially-Observed Network
#' Data}, Ph.D. Thesis, Department of Statistics, University of Washington.
#' 
#' Gile, Krista J. and Handcock, Mark S. (2010) \emph{Respondent-Driven
#' Sampling: An Assessment of Current Methodology}, Sociological Methodology
#' 40, 285-327.
#' 
#' Gile, Krista J. and Handcock, Mark S. (2018) \pkg{sspse}: Estimating Hidden 
#' Population Size using Respondent Driven Sampling Data
#' R package, Los Angeles, CA.  Version 0.8, \url{https://hpmrg.org/sspse/}.
#' 
#' Handcock MS (2003).  \pkg{degreenet}: Models for Skewed Count Distributions
#' Relevant to Networks.  Statnet Project, Seattle, WA.  Version 1.2,
#' \url{https://statnet.org/}.
#' 
#' Handcock, Mark S., Gile, Krista J. and Mar, Corinne M. (2014)
#' \emph{Estimating Hidden Population Size using Respondent-Driven Sampling
#' Data}, Electronic Journal of Statistics, 8, 1, 1491-1521
#' 
#' Handcock, Mark S., Gile, Krista J. and Mar, Corinne M. (2015)
#' \emph{Estimating the Size of Populations at High Risk for HIV using Respondent-Driven 
#' Sampling Data}, Biometrics.
#' 
#' @keywords package models
#' @useDynLib sspse, .registration = TRUE
#' @importFrom utils packageDescription
#' @importFrom graphics lines
#' @importFrom graphics abline
#' @importFrom graphics axis
#' @importFrom graphics par
#' @importFrom graphics plot
#' @importFrom graphics points
#' @importFrom graphics segments
#' @importFrom graphics strwidth
#' @importFrom stats median
#' @importFrom stats quantile
#' @importFrom stats poisson
#' @importFrom stats predict
#' @import methods
#' @import parallel
#' @import scam
#' @import KernSmooth
#' @import RDS
NULL

Try the sspse package in your browser

Any scripts or data that you put into this service are public.

sspse documentation built on Aug. 8, 2023, 9:07 a.m.