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-4.7)NSUM_1.0.1.zip(r-4.6)NSUM_1.0.1.zip(r-4.5)
NSUM_1.0.1.tgz(r-4.6-any)NSUM_1.0.1.tgz(r-4.5-any)
NSUM_1.0.1.tar.gz(r-4.7-any)NSUM_1.0.1.tar.gz(r-4.6-any)
NSUM_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 4 downloads 6 mentions 4 exports 10 dependencies

Last updated from:767ddc6e97. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	122
source / vignettes	OK	149
linux-release-x86_64	OK	120
macos-release-arm64	OK	111
macos-oldrel-arm64	OK	108
windows-devel	OK	103
windows-release	OK	90
windows-oldrel	OK	93
wasm-release	OK	93

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