RDStreeboot-package: RDStreeboot: Tree Bootstrap Method

In RDStreeboot: RDS 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)

Example output

      0.025       0.1        0.9      0.975
X 0.1791863 0.2223866 0.40791034 0.46104260
Y 0.0000000 0.0000000 0.04265729 0.06604178
Z 0.1271268 0.1690338 0.34732846 0.41175285

RDStreeboot documentation built on May 2, 2019, 6:47 a.m.