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sspse (version 1.1.0-1)

Estimating Hidden Population Size using Respondent Driven Sampling Data

Description

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) , Handcock, Gile and Mar (2015) , Kim and Handcock (2021) , and McLaughlin, et. al. (2023) .

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Version

Install

install.packages('sspse')

Monthly Downloads

213

Version

1.1.0-1

License

GPL-3 + file LICENSE

Maintainer

Mark S Handcock

Last Published

March 29th, 2024

Functions in sspse (1.1.0-1)

summary.sspse

Summarizing Population Size Estimation Model Fits
plot.sspse

Plot Summary and Diagnostics for Population Size Estimation Model Fits
pospreddeg

Compute the posterior predictive p-values for the reported network sizes
impute.visibility

Estimates each person's personal visibility based on their self-reported degree and the number of their (direct) recruits. It uses the time the person was recruited as a factor in determining the number of recruits they produce.
plot.pospreddeg

Plots the posterior predictive p-values for the reported network sizes
posize_warning

Warning message for posteriorsize fit failure
print.summary.sspse

Summarizing Population Size Estimation Model Fits
fauxmadrona2

A Pair of Simulated RDS Data Sets with no seed dependency
posteriorsize

Estimating hidden population size using RDS data
dsizeprior

Prior distributions for the size of a hidden population
sspse-package

Estimating Hidden Population Size using Respondent Driven Sampling Data