mlr3 and mlr3proba

mlr3proba is a specialized extension package that adds probabilistic prediction capabilities (survival analysis, density estimation, distributional regression) to mlr3's core machine learning framework, making them complements designed to be used together.

mlr3
62
Established
mlr3proba
54
Established
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 18/25
Stars: 1,060
Forks: 96
Downloads:
Commits (30d): 9
Language: R
License: LGPL-3.0
Stars: 147
Forks: 23
Downloads:
Commits (30d): 0
Language: R
License: LGPL-3.0
No Package No Dependents
No Package No Dependents

About mlr3

mlr-org/mlr3

mlr3: Machine Learning in R - next generation

This tool helps data scientists and analysts in R build and evaluate machine learning models for classification, regression, and survival analysis. You provide your dataset, and it helps you train models and understand how well they perform. This is for R users who need to conduct rigorous machine learning experiments.

data-science predictive-modeling statistical-analysis machine-learning-workflow model-evaluation

About mlr3proba

mlr-org/mlr3proba

Probabilistic Learning for mlr3

This tool helps researchers and analysts perform advanced statistical modeling, specifically for understanding when events are likely to occur and how long subjects will survive, even if data is incomplete. You input datasets with event times and censoring information, and it outputs probabilistic predictions about future events or survival probabilities. It's designed for data scientists and statisticians working with survival analysis, density estimation, or probabilistic regression.

survival-analysis biostatistics event-prediction risk-modeling predictive-analytics

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