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| RDS-package | 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. |
| 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 |
| bottleneck.plot | Bottleneck Plot |
| compute.weights | Compute estimates of the sampling weights of the respondent's observations based on various estimators |
| 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 |
| 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 |
| get.h.hat | Get Horvitz-Thompson estimator assuming inclusion probability proportional to the inverse of newtwork.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.population.size | Returns the population size assosiated with the data. |
| 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 assosiated 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 |
| homophily.estimates | This function computes an estimate of the population homophily and the recruitment homophily based on a categorical variable. |
| is.rds.data.frame | Is an instance of rds.data.frame |
| plot.rds.data.frame | Diagnostic plots for the RDS recruitment proccess |
| print.differential.activity.estimate | Prints an differential.activity.estimate object |
| print.pvalue.table | Displays a pvalue.table |
| print.rds.data.frame | Displays an rds.data.frame |
| print.rds.interval.estimate | Prints an 'rds.interval.estimate' object |
| 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. |
| RDS.bootstrap.intervals | RDS Bootstrap Interval Estimates |
| RDS.compare.proportions | Compares the rates of two variables against one another. |
| 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 |
| 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 uing the reingold tilford algorithm. |
| rid.from.coupons | Determines the recruiter.id from recruitment coupon information |
| show.rds.data.frame | Displays an rds.data.frame |
| transition.counts.to.Markov.mle | calculates the mle. ie.e the row proportions of the transition matrix |
| 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.rdsobj | Export an rds.data.frmae to file |
| [-method | indexing |
| [.rds.data.frame | indexing |
| [<--method | indexing |
| [<-.rds.data.frame | indexing |