Package: NSUM 1.0.1

Aaron J. Baraff

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.

Authors:Rachael Maltiel and Aaron J. Baraff

NSUM_1.0.1.tar.gz
NSUM_1.0.1.zip(r-4.5)NSUM_1.0.1.zip(r-4.4)NSUM_1.0.1.zip(r-4.3)
NSUM_1.0.1.tgz(r-4.4-any)NSUM_1.0.1.tgz(r-4.3-any)
NSUM_1.0.1.tar.gz(r-4.5-noble)NSUM_1.0.1.tar.gz(r-4.4-noble)
NSUM_1.0.1.tgz(r-4.4-emscripten)NSUM_1.0.1.tgz(r-4.3-emscripten)
NSUM.pdf |NSUM.html✨
NSUM/json (API)

# Install 'NSUM' in R:

install.packages('NSUM', repos = c('https://coalesce-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/coalesce-lab/nsum/issues

Datasets:

Curitiba - Curitiba Dataset
McCarty - McCarty Dataset

On CRAN:

2.48 score 7 scripts 19 downloads 6 mentions 7 exports 10 dependencies

Last updated 2 years agofrom:93eabb483c. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 08 2024
R-4.5-win	OK	Nov 08 2024
R-4.5-linux	OK	Nov 08 2024
R-4.4-win	OK	Nov 08 2024
R-4.4-mac	OK	Nov 08 2024
R-4.3-win	OK	Nov 08 2024
R-4.3-mac	OK	Nov 08 2024

Exports:killworth killworth.start nsum.mcmc nsum.simulate print.NSUM print.summary.NSUM summary.NSUM

Dependencies:coda lattice MASS Matrix MatrixModels mcmc MCMCpack quantreg SparseM survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
NSUM: Network Scale Up Method	NSUM-package NSUM
Curitiba Dataset	Curitiba
Calculate Killworth Estimates	killworth
Killworth Starting Values for MCMC	killworth.start
McCarty Dataset	McCarty
Run MCMC for NSUM Parameters	nsum.mcmc
Simulate NSUM Data	nsum.simulate
Other functions	print.NSUM
Summarise NSUM model fits	print.summary.NSUM summary.NSUM