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