MIAmaxent
A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
Tools for training, selecting, and evaluating maximum entropy (and standard logistic regression) distribution models. This package provides tools for user-controlled transformation of explanatory variables, selection of variables by nested model comparison, and flexible model evaluation and projection. It follows principles based on the maximum- likelihood interpretation of maximum entropy modeling, and uses infinitely- weighted logistic regression for model fitting. The package is described in Vollering et al. (2019; <doi:10.1002/ece3.5654>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.1 |
rolling linux/jammy R-4.5 | MIAmaxent_1.4.1.tar.gz |
1.0 MiB |
1.4.1 |
rolling linux/noble R-4.5 | MIAmaxent_1.4.1.tar.gz |
1.0 MiB |
1.4.1 |
rolling source/ R- | MIAmaxent_1.4.1.tar.gz |
969.4 KiB |
1.4.1 |
latest linux/jammy R-4.5 | MIAmaxent_1.4.1.tar.gz |
1.0 MiB |
1.4.1 |
latest linux/noble R-4.5 | MIAmaxent_1.4.1.tar.gz |
1.0 MiB |
1.4.1 |
latest source/ R- | MIAmaxent_1.4.1.tar.gz |
969.4 KiB |
1.4.1 |
2026-04-26 source/ R- | MIAmaxent_1.4.1.tar.gz |
969.4 KiB |
1.4.1 |
2026-04-23 source/ R- | MIAmaxent_1.4.1.tar.gz |
969.4 KiB |
1.4.1 |
2026-04-09 windows/windows R-4.5 | MIAmaxent_1.4.1.zip |
1.0 MiB |
1.3.1 |
2025-04-20 source/ R- | MIAmaxent_1.3.1.tar.gz |
815.8 KiB |