gjam
Generalized Joint Attribute Modeling
Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.7 |
rolling linux/jammy R-4.5 | gjam_2.7.tar.gz |
1.0 MiB |
2.7 |
rolling linux/noble R-4.5 | gjam_2.7.tar.gz |
1.0 MiB |
2.7 |
rolling source/ R- | gjam_2.7.tar.gz |
329.2 KiB |
2.7 |
latest linux/jammy R-4.5 | gjam_2.7.tar.gz |
1.0 MiB |
2.7 |
latest linux/noble R-4.5 | gjam_2.7.tar.gz |
1.0 MiB |
2.7 |
latest source/ R- | gjam_2.7.tar.gz |
329.2 KiB |
2.7 |
2026-04-26 source/ R- | gjam_2.7.tar.gz |
329.2 KiB |
2.7 |
2026-04-23 source/ R- | gjam_2.7.tar.gz |
329.2 KiB |
2.7 |
2026-04-09 windows/windows R-4.5 | gjam_2.7.zip |
1.4 MiB |
2.6.2 |
2025-04-20 source/ R- | gjam_2.6.2.tar.gz |
331.5 KiB |