Showing 6 of 6 projects
A pure Python library for survival analysis, modeling time-to-event data with censoring.
A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.
A fast implementation of random forests for classification, regression, and survival analysis, optimized for high-dimensional data.
An R package for creating publication-ready survival plots and conducting survival analysis using ggplot2.
Unified ggplot2 interface for visualizing statistical results from popular R packages.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
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