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-4.5-any)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://mbojan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mbojan/nsum/issues

Datasets:

Curitiba - Curitiba Dataset
McCarty - McCarty Dataset

On CRAN:

2.48 score 8 scripts 20 downloads 6 mentions 4 exports 10 dependencies

Last updated 3 years agofrom:767ddc6e97. Checks:8 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 21 2025
R-4.5-win	OK	Feb 21 2025
R-4.5-mac	OK	Feb 21 2025
R-4.5-linux	OK	Feb 21 2025
R-4.4-win	OK	Feb 21 2025
R-4.4-mac	OK	Feb 21 2025
R-4.3-win	OK	Feb 21 2025
R-4.3-mac	OK	Feb 21 2025

Exports:killworth killworth.start nsum.mcmc nsum.simulate

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