Functions for species distribution modeling, calibration and evaluation, 
  ensemble of models, ensemble forecasting and visualization. The package permits to run
  consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences)
  dataset and to combine them in ensemble models and ensemble projections. Some bench of other 
  evaluation and visualisation tools are also available within the package.

An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, 
    subsampling, and multimetric index calculation.  Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral.  As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.

Tools for bioinformatics modeling using recursive transformer-inspired 
    architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. 
    Includes utilities for cross-validation, calibration, benchmarking, and threshold 
    optimization in predictive modeling workflows. The methodology builds on ensemble 
    learning (Breiman 2001 <doi:10.1023/A:1010933404324>), gradient boosting (Chen and 
    Guestrin 2016 <doi:10.1145/2939672.2939785>), autoencoders (Hinton and Salakhutdinov 
    2006 <doi:10.1126/science.1127647>), and recursive transformer efficiency approaches 
    such as Mixture-of-Recursions (Bae et al. 2025 <doi:10.48550/arXiv.2507.10524>).

Data Package that includes several examples of chemical and biological data networks, i.e. data graph structured.

Prognostic Enrichment is a clinical trial strategy of evaluating an intervention in a patient population with a higher rate of the unwanted event than the broader patient population (R. Temple (2010) <DOI:10.1038/clpt.2010.233>). A higher event rate translates to a lower sample size for the clinical trial, which can have both practical and ethical advantages. This package is a tool to help evaluate biomarkers for prognostic enrichment of clinical trials.