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
RDS.HCG.estimates       Homophily Configuration Graph Estimates
RDS.I.estimates         Compute RDS-I Estimates
RDS.II.estimates        RDS-II Estimates
RDS.SS.estimates        Gile's SS Estimates
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.data.frame        indexing
[<-.rds.data.frame      indexing
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
fauxsycamore            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.replicate.weights   HCG parametric bootstrap replicate weights
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
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.I.weights           RDS-I weights
rds.interval.estimate   An object of class rds.interval.estimate
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
