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.
gridExtra, ggplot2, Hmisc, igraph, reshape2, scales

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.
gridExtra, ggplot2, igraph, reshape2, scales

c(person("Mark S.", "Handcock", role=c("aut","cre"), email="handcock@stat.ucla.edu"),
person("Krista J.", "Gile", role=c("aut"), email="gile@math.umass.edu"),
person("Ian E.", "Fellows", role=c("aut"), email="ian@fellstat.com"),
person("W. Whipple", "Neely", role=c("aut"), email="wwneely@stat.washington.edu"))

gridExtra, ggplot2 (>= 2.0.0), igraph, reshape2, scales

This package 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.
gridExtra, ggplot2, Hmisc, igraph, locfit, reshape2, scales

gridExtra, ggplot2 (>= 2.0.0), network, igraph, reshape2,
scales, anytime, Hmisc, ergm, isotone

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> and
Gile and Handcock (2015) <doi:10.1111/rssa.12091>.

gridExtra, ggplot2 (>= 2.0.0), network, igraph, reshape2,
scales, anytime, Hmisc, statnet.common, ergm, isotone

An R wrapper for the Data Science Toolkit API
This package provides an R interface to Pete Warden's Data
Science Toolkit.  See www.datasciencetoolkit.org for more
information.  The source code for this package can be found at
github.com/rtelmore/RDSTK Happy hacking!