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RDS  

Respondent-Driven Sampling
View on CRAN: Click here


Download and install RDS package within the R console
Install from CRAN:
install.packages("RDS")

Install from Github:
library("remotes")
install_github("cran/RDS")

Install by package version:
library("remotes")
install_version("RDS", "0.9-9")



Attach the package and use:
library("RDS")
Maintained by
Mark S. Handcock
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-22
Latest Update: 2024-02-01
Description:
Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x>, Gile and Handcock (2015) <doi:10.1111/rssa.12091> and Gile and Beaudry and Handcock and Ott (2018) <doi:10.1146/annurev-statistics-031017-100704>.
How to cite:
Mark S. Handcock (2009). RDS: Respondent-Driven Sampling. R package version 0.9-9, https://cran.r-project.org/web/packages/RDS
Previous versions and publish date:
0.01 (2009-04-22 18:01), 0.5 (2013-11-28 08:24), 0.6 (2014-05-07 08:35), 0.7-1 (2015-03-24 07:21), 0.7-2 (2015-05-12 00:07), 0.7-3 (2015-09-20 08:01), 0.7-4 (2015-12-29 22:29), 0.7-5 (2016-02-23 22:45), 0.7-6 (2016-03-26 22:02), 0.7-7 (2016-07-21 07:50), 0.7-8 (2016-12-27 19:19), 0.7 (2015-01-20 06:14), 0.8-0 (2017-09-16 05:10), 0.8-1 (2017-12-01 19:16), 0.9-0 (2019-05-31 09:50), 0.9-2 (2019-12-14 18:40), 0.9-3 (2021-03-29 12:32), 0.9-5 (2023-01-14 22:20), 0.9-6 (2023-02-10 19:20), 0.9-7 (2023-08-20 07:22)
Other packages that cited RDS R package
View RDS citation profile
Other R packages that RDS depends, imports, suggests or enhances
Functions, R codes and Examples using the RDS R package
Some associated functions: LRT.trend.test . LRT.value.trend . MA.estimates . RDS.HCG.estimates . RDS.I.estimates . RDS.II.estimates . RDS.SS.estimates . RDS.bootstrap.intervals . RDS.compare.proportions . RDS.compare.two.proportions . RDS . as.char . as.rds.data.frame . assert.valid.rds.data.frame . bootstrap.contingency.test . bootstrap.incidence . bottleneck.plot . compute.weights . control.rds.estimates . convergence.plot . count.transitions . cumulative.estimate . differential.activity.estimates . export.rds.interval.estimate . extract-methods . faux . fauxmadrona . fauxsycamore . fauxtime . get.h.hat . get.id . get.net.size . get.number.of.recruits . get.population.size . get.recruitment.time . get.rid . get.seed.id . get.seed.rid . get.stationary.distribution . get.wave . gile.ss.weights . has.recruitment.time . hcg.weights . homophily.estimates . impute.degree . impute.visibility_mle . indexing-methods . is.rds.data.frame . is.rds.interval.estimate.list . is.rds.interval.estimate . plot.rds.data.frame . print.differential.activity.estimate . print.pvalue.table . print.rds.contin.bootstrap . print.rds.data.frame . print.rds.interval.estimate . print.summary.svyglm.RDS . rds.I.weights . rds.interval.estimate . rdssampleC . read.rdsat . read.rdsobj . reingold.tilford.plot . rid.from.coupons . set.control.class . show.rds.data.frame . summary.svyglm.RDS . transition.counts.to.Markov.mle . ult . vh.weights . write.graphviz . write.netdraw . write.rdsat . write.rdsobj . 
Some associated R codes: LRT.trend.R . MA.estimates.R . MA.parallel.R . MA.sampling-c.R . MA.util.R . RDS.compare.proportions.R . bgk_kde.R . bootstrap-intervals.R . bootstrap.contingency.test.R . control.rds.estimates.R . control.utilities.R . data-export.R . data-import.R . differential-activity.R . errorbar.R . estimate-plots.R . estimate-utils.R . gile-bootstrap.R . gile-ss-util.R . hcg-bootstrap.R . hcg-util.R . homophily.R . impute-degree.R . incidence.R . llmeC.R . me.impute.R . rds-HCG.R . rds-I.R . rds-II.R . rds-doc.R . rds-ss.R . rds.data.frame-plots.R . rds.data.frame-utils.R . rds.data.frame.R . rds.estimates.local.R . rds.interval.estimate.R . rds.weighted.estimate-class.R . robust.inverse.R . salganik-bootstrap.R . summary.odds.R . treeboot.R . utils.R . weights.R . wtd.stats.R .  Full RDS package functions and examples
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