| RDStreeboot-package {RDStreeboot} | R Documentation |
RDStreeboot: Tree Bootstrap Method
Description
A tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.
Details
| Package: | RDStreeboot |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-11-23 |
| License: | GPL-2 | GPL-3 |
The main estimation function is treeboot.RDS. It produces estimates for the quantiles of traits from a respondent-driven sample (RDS) using the tree bootstrap method. Options allow for different quantiles to be estimated and the number of tree bootstrap samples to be drawn. Also included is a function to draw a random respondent-driven sample (RDS) from a social network (sample.RDS). A faux social network dataset has been provided for testing and examples (faux.network).
Author(s)
Aaron J. Baraff
Maintainer: Aaron J. Baraff <ajbaraff at uw.edu>
References
Baraff, A. J., McCormick, T. H., and Raftery, A. E., "Estimating uncertainty in respondent-driven sampling using a tree bootstrap method."
Examples
## load data
data(faux.network)
## draw RDS from network
samp <- sample.RDS(faux.network$traits, faux.network$adj.mat, 100, 2, 3, c(0,1/3,1/3,1/3), TRUE)
## estimate 80% and 95% confidence intervals
treeboot.RDS(samp, c(0.025, 0.10, 0.90, 0.975), 2000)