R: Respondent-Driven Sampling

# Respondent-Driven Sampling

## Documentation for package ‘RDS’ version 0.9-9

- DESCRIPTION file.

## Help Pages

$.control.list | Named element accessor for ergm control lists
as.char | converts to character with minimal loss of precision for numeric variables
as.rds.data.frame | Coerces a data.frame object into an rds.data.frame object.
assert.valid.rds.data.frame | Does various checks and throws errors if x is not a valid rds.data.frame
bootstrap.contingency.test | Performs a bootstrap test of independance between two categorical variables
bootstrap.incidence | Calculates incidence and bootstrap confidence intervals for immunoassay data collected with RDS
bottleneck.plot | Bottleneck Plot
compute.weights | Compute estimates of the sampling weights of the respondent's observations based on various estimators
control.list.accessor | Named element accessor for ergm control lists
control.rds.estimates | Auxiliary for Controlling RDS.bootstrap.intervals
convergence.plot | Convergence Plots
count.transitions | Counts the number or recruiter->recruitee transitions between different levels of the grouping variable.
cumulative.estimate | Calculates estimates at each successive wave of the sampling process
differential.activity.estimates | Differential Activity between groups
export.rds.interval.estimate | Convert the output of print.rds.interval.estimate from a character data.frame to a numeric matrix
faux | A Simulated RDS Data Set
fauxmadrona | A Simulated RDS Data Set with no seed dependency
fauxmadrona.network | A Simulated RDS Data Set with no seed dependency
fauxsycamore | A Simulated RDS Data Set with extreme seed dependency
fauxsycamore.network | A Simulated RDS Data Set with extreme seed dependency
fauxtime | A Simulated RDS Data Set
get.h.hat | Get Horvitz-Thompson estimator assuming inclusion probability proportional to the inverse of network.var (i.e. degree).
get.id | Get the subject id
get.net.size | Returns the network size of each subject (i.e. their degree).
get.number.of.recruits | Calculates the number of (direct) recuits for each respondent.
get.population.size | Returns the population size associated with the data.
get.recruitment.time | Returns the recruitment time for each subject
get.rid | Get recruiter id
get.seed.id | Calculates the root seed id for each node of the recruitement tree.
get.seed.rid | Gets the recruiter id associated with the seeds
get.stationary.distribution | Markov chain statistionary distribution
get.wave | Calculates the depth of the recruitment tree (i.e. the recruitment wave) at each node.
gile.ss.weights | Weights using Giles SS estimator
has.recruitment.time | RDS data.frame has recruitment time information
hcg.weights | homophily configuration graph weights
homophily.estimates | This function computes an estimate of the population homophily and the recruitment homophily based on a categorical variable.
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.
impute.visibility_mle | 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.
is.rds.data.frame | Is an instance of rds.data.frame
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
LRT.trend | Compute a test of trend in prevalences based on a likelihood-ratio statistic
LRT.trend.null | Compute a test of trend in prevalences based on a likelihood-ratio statistic
LRT.trend.test | Compute a test of trend in prevalences based on a likelihood-ratio statistic
LRT.value.trend | Compute a test of trend in prevalences based on a likelihood-ratio statistic
MA.estimates | MA Estimates
plot.rds.data.frame | Diagnostic plots for the RDS recruitment process
print.differential.activity.estimate | Prints an differential.activity.estimate object
print.pvalue.table | Displays a pvalue.table
print.rds.contin.bootstrap | Displays an rds.contin.bootstrap
print.rds.data.frame | Displays an rds.data.frame
print.rds.interval.estimate | Prints an 'rds.interval.estimate' object
print.summary.svyglm.RDS | Summarizing Generalized Linear Model Fits with Odds Ratios
RDS.bootstrap.intervals | RDS Bootstrap Interval Estimates
RDS.compare.proportions | Compares the rates of two variables against one another.
RDS.compare.two.proportions | Compares the rates of two variables against one another.
RDS.HCG.estimates | Homophily Configuration Graph Estimates
RDS.I.estimates | Compute RDS-I Estimates
rds.I.weights | RDS-I weights
RDS.II.estimates | RDS-II Estimates
rds.interval.estimate | An object of class rds.interval.estimate
RDS.SS.estimates | Gile's SS Estimates
rdssampleC | Create RDS samples with given characteristics
read.rdsat | Import data from the 'RDSAT' format as an 'rds.data.frame'
read.rdsobj | Import data saved using write.rdsobj
reingold.tilford.plot | Plots the recruitment network using the Reingold Tilford algorithm.
rid.from.coupons | Determines the recruiter.id from recruitment coupon information
set.control.class | Set the class of the control list
show.rds.data.frame | Displays an rds.data.frame
summary.svyglm.RDS | Summarizing Generalized Linear Model Fits with Odds Ratios for Survey Data
transition.counts.to.Markov.mle | calculates the mle. i.e. the row proportions of the transition matrix
ult | Extract or replace the *ult*imate (last) element of a vector or a list, or an element counting from the end.
vh.weights | Volz-Heckathorn (RDS-II) weights
write.graphviz | writes an rds.data.frame recruitment tree as a GraphViz file
write.netdraw | Writes out the RDS tree in NetDraw format
write.rdsat | Writes out the RDS tree in RDSAT format
write.rdsobj | Export an rds.data.frame to file
[-method | indexing
[.rds.data.frame | indexing
[<--method | indexing
[<-.rds.data.frame | indexing