💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

🌌 The R easystats-project

📜 🎉 Automated reporting of objects in R

🔮 Easy access to model information for various model objects

📒 The MLOps stack component for experiment tracking (R interface)

Build and Tune Several Models

App: Future precipitation in every country of the world based on different CO2 emission scenarios and CMIP5 models.

BAM Landbird Models

Intrusion Detection Learning adapted from http://kdd.ics.uci.edu/databases/kddcup99/task.html

CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs

Visualisation for statistical models.

UP: Universal Prediction distribution for surrogate models

An R-toolkit for model evaluation, model comparison and hyperparameter tuning based on cross-validation

An updated version of the DDRP platform (from v2) that uses newer R packages ("terra" and "sf"). The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States.

AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.

Taking a look at some of machine learning models and a walk through on training models using different dataset

Re-analysis of Friedman et al., (2021) data about consonance in Bohlen-Pierce dyads/triads

R is the most used language which in Statistics which is slowly replacing tools like excel and SPSS to some extent.

Analysis of the vertical stratification of epiphytes in the Atlantic Forest of Ilha Grande, Brazil