Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) tools:::Rd_expr_doi("10.1214/14-EJS923"), Handcock, Gile and Mar (2015) tools:::Rd_expr_doi("10.1111/biom.12255"), Kim and Handcock (2021) tools:::Rd_expr_doi("10.1093/jssam/smz055"), and McLaughlin, et. al. (2023) tools:::Rd_expr_doi("10.1214/23-AOAS1807").
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')
Maintainer: Mark S. Handcock handcock@stat.ucla.edu (ORCID) [copyright holder]
Authors:
Krista J. Gile gile@math.umass.edu [copyright holder]
Other contributors:
Brian Kim kimbrian@umd.edu [contributor]
Katherine R. McLaughlin katherine.mclaughlin@oregonstate.edu [contributor]
Krista J. Gile gile@math.umass.edu,
Mark S. Handcock handcock@stat.ucla.edu
Maintainer: Mark S. Handcock handcock@stat.ucla.edu
For a complete list of the functions, use 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) sspse: Estimating Hidden Population Size using Respondent Driven Sampling Data R package, Los Angeles, CA. Version 0.8, https://hpmrg.org/sspse/.
All programs derived from this package must cite it. For complete citation
information, use
citation(package="sspse").
The package can also be accessed via graphical user interface
provided by the RDS Analyst software.
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: https://hpmrg.org/. A tutorial, support newsgroup, references and links to further resources are provided there.
Gile, Krista J. (2008) Inference from Partially-Observed Network Data, Ph.D. Thesis, Department of Statistics, University of Washington.
Gile, Krista J. and Handcock, Mark S. (2010) Respondent-Driven Sampling: An Assessment of Current Methodology, Sociological Methodology 40, 285-327.
Gile, Krista J. and Handcock, Mark S. (2018) sspse: Estimating Hidden Population Size using Respondent Driven Sampling Data R package, Los Angeles, CA. Version 0.8, https://hpmrg.org/sspse/.
Handcock MS (2003). degreenet: Models for Skewed Count Distributions Relevant to Networks. Statnet Project, Seattle, WA. Version 1.2, https://statnet.org/.
Handcock, Mark S., Gile, Krista J. and Mar, Corinne M. (2014) 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) Estimating the Size of Populations at High Risk for HIV using Respondent-Driven Sampling Data, Biometrics.
Useful links: