NSUM: Network Scale Up Method

A Bayesian framework for population group size estimation using the Network Scale Up Method (NSUM). Size estimates are based on a random degree model and include options to adjust for barrier and transmission effects.

Author
Rachael Maltiel and Aaron J. Baraff
Date of publication
2015-03-03 21:37:49
Maintainer
Aaron J. Baraff <ajbaraff@uw.edu>
License
GPL-2 | GPL-3
Version
1.0

View on CRAN

Man pages

Curitiba
Curitiba Dataset
killworth
Calculate Killworth Estimates
killworth.start
Killworth Starting Values for MCMC
McCarty
McCarty Dataset
nsum.mcmc
Run MCMC for NSUM Parameters
NSUM-package
NSUM: Network Scale Up Method
nsum.simulate
Simulate NSUM Data

Files in this package

NSUM
NSUM/NAMESPACE
NSUM/data
NSUM/data/McCarty.RData
NSUM/data/Curitiba.RData
NSUM/R
NSUM/R/MCMC_barrier_transmission_combined.R
NSUM/R/MCMC_barrier_effect.R
NSUM/R/MCMC_master.R
NSUM/R/MCMC_transmission_bias.R
NSUM/R/MCMC_random_degree.R
NSUM/R/killworth.R
NSUM/MD5
NSUM/DESCRIPTION
NSUM/man
NSUM/man/nsum.mcmc.Rd
NSUM/man/NSUM-package.Rd
NSUM/man/killworth.Rd
NSUM/man/Curitiba.Rd
NSUM/man/McCarty.Rd
NSUM/man/killworth.start.Rd
NSUM/man/nsum.simulate.Rd