RDS package - RDocumentation

RDS

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 Sampler estimator.

MA.estimates

MA Estimates

RDS.II.estimates

RDS-II Estimates

RDS.HCG.estimates

Homophily Configuration Graph Estimates

RDS.compare.proportions

Compares the rates of two variables against one another.

RDS.bootstrap.intervals

RDS Bootstrap Interval Estimates

LRT.trend.test

Compute a test of trend in prevalences based on a likelihood-ratio statistic

RDS.SS.estimates

Gile's SS Estimates

LRT.value.trend

Compute a test of trend in prevalences based on a likelihood-ratio statistic

RDS.compare.two.proportions

Compares the rates of two variables against one another.

RDS.I.estimates

Compute RDS-I Estimates

as.rds.data.frame

Coerces a data.frame object into an rds.data.frame object.

bottleneck.plot

Bottleneck Plot

assert.valid.rds.data.frame

Does various checks and throws errors if x is not a valid rds.data.frame

compute.weights

Compute estimates of the sampling weights of the respondent's observations based on various estimators

control.rds.estimates

Auxiliary for Controlling RDS.bootstrap.intervals

as.char

converts to character with minimal loss of precision for numeric variables

convergence.plot

Convergence Plots

bootstrap.contingency.test

Performs a bootstrap test of independance between two categorical variables

get.h.hat

Get Horvitz-Thompson estimator assuming inclusion probability proportional to the inverse of network.var (i.e. degree).

bootstrap.incidence

Calculates incidence and bootstrap confidence intervals for immunoassay data collected with RDS

get.seed.id

Calculates the root seed id for each node of the recruitement tree.

fauxtime

A Simulated RDS Data Set

get.seed.rid

Gets the recruiter id assosiated with the seeds

fauxmadrona

A Simulated RDS Data Set with no seed dependency

count.transitions

Counts the number or recruiter->recruitee transitions between different levels of the grouping variable.

fauxsycamore

A Simulated RDS Data Set with extreme seed dependency

differential.activity.estimates

Differential Activity between groups

get.stationary.distribution

Markov chain statistionary distribution

[<-.rds.data.frame

indexing

get.wave

Calculates the depth of the recruitment tree (i.e. the recruitment wave) at each node.

faux

A Simulated RDS Data Set

[.rds.data.frame

indexing

get.recruitment.time

Returns the recruitment time for each subject

is.rds.data.frame

Is an instance of rds.data.frame

impute.degree

Imputes missing degree values

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.

cumulative.estimate

Calculates estimates at each successive wave of the sampling process

get.rid

Get recruiter id

get.number.of.recruits

Calculates the number of (direct) recuits for each respondent.

is.rds.interval.estimate

Is an instance of rds.interval.estimate

is.rds.interval.estimate.list

Is an instance of rds.interval.estimate.list This is a (typically time ordered) sequence of RDS estimates of a comparable quantity

get.population.size

Returns the population size associated with the data.

write.rdsobj

Export an rds.data.frame to file

hcg.weights

homophily configuration graph weights

rds.interval.estimate

An object of class rds.interval.estimate

read.rdsat

Import data from the 'RDSAT' format as an rds.data.frame

print.rds.data.frame

Displays an rds.data.frame

rid.from.coupons

Determines the recruiter.id from recruitment coupon information

print.rds.interval.estimate

Prints an rds.interval.estimate object

set.control.class

Set the class of the control list

show.rds.data.frame

Displays an rds.data.frame

plot.rds.data.frame

Diagnostic plots for the RDS recruitment process

summary.svyglm.RDS

Summarizing Generalized Linear Model Fits with Odds Ratios for Survey Data

print.differential.activity.estimate

Prints an differential.activity.estimate object

write.graphviz

writes an rds.data.frame recruitment tree as a GraphViz file

write.rdsat

Writes out the RDS tree in RDSAT format

write.netdraw

Writes out the RDS tree in NetDraw format

homophily.estimates

This function computes an estimate of the population homophily and the recruitment homophily based on a categorical variable.

vh.weights

Volz-Heckathorn (RDS-II) weights

print.pvalue.table

Displays a pvalue.table

gile.ss.weights

Weights using Giles SS estimator

has.recruitment.time

RDS data.frame has recruitment time information

print.rds.contin.bootstrap

Displays an rds.contin.bootstrap

print.summary.svyglm.RDS

Summarizing Generalized Linear Model Fits with Odds Ratios

transition.counts.to.Markov.mle

calculates the mle. i.e. the row proportions of the transition matrix

rds.I.weights

RDS-I weights

export.rds.interval.estimate

Convert the output of print.rds.interval.estimate from a character data.frame to a numeric matrix

read.rdsobj

Import data saved using write.rdsobj

get.id

Get the subject id

reingold.tilford.plot

Plots the recruitment network using the Reingold Tilford algorithm.

get.net.size

Returns the network size of each subject (i.e. their degree).

RDS (version 0.8-1)

Respondent-Driven Sampling

Description

Copy Link

Version

Install

Monthly Downloads

Version

License

Maintainer

Last Published

Functions in RDS (0.8-1)