Multi-Species N-Mixture (MNM) Models with 'nimble'
Overview
Simulating data and fitting multi-species N-mixture models using 'nimble'. Includes features for handling zero-inflation and temporal correlation, Bayesian inference, model diagnostics, parameter estimation, and predictive checks. Designed for ecological studies with zero-altered or time-series data. Mimnagh, N., Parnell, A., Prado, E., & Moral, R. A. (2022) doi:10.1007/s10651-022-00542-7. Royle, J. A. (2004) doi:10.1111/j.0006-341X.2004.00142.x.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
Documentation signals are not tracked yet for this package.
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/niamhmimnagh/multinmix on 2026-10-11.
Dependencies
Installing MultiNMix adds 55 packages (27 with compiled code, 54 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, igraph 4.8 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.0Latest2025-03-19 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-03-19
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 52 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MultiNMix")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.