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:
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://mbojan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mbojan/nsum/issues
Last updated 2 years agofrom:767ddc6e97. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 25 2024 |
| R-4.5-win | OK | Aug 25 2024 |
| R-4.5-linux | OK | Aug 25 2024 |
| R-4.4-win | OK | Aug 25 2024 |
| R-4.4-mac | OK | Aug 25 2024 |
| R-4.3-win | OK | Aug 25 2024 |
| R-4.3-mac | OK | Aug 25 2024 |
Exports:killworthkillworth.startnsum.mcmcnsum.simulate
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival
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 |