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RStats Machine Learning
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- 38%active
- 23%steady
- 8%slowing
- 31%dormant
Machine Learning
AnomalyDetection R package from Twitter.
RGNU General Public License v3.0dormantarchived
Causal inference using Bayesian structural time-series models.
RApache License 2.0steady
Extensible framework for classification, regression, survival analysis and clustering [DEPRECIATED]
ROthersteady
Next generation extensible framework for classification, regression, survival analysis and clustering
RGNU Lesser General Public License v3.0active
A Fast Implementation of Random Forests.
C++steady
Breakout Detection via Robust E-Statistics from Twitter.
C++GNU General Public License v2.0dormantarchived
Mixed-effects models
HTMLOtheractive
a collection of commonly used univariate and multivariate time series forecasting models
RGNU General Public License v3.0active
eXtreme Gradient Boosting Tree model, well known for its speed and performance.
C++Otherdormant
Survival Analysis & Visualization
Ractive
Tidy Anomaly Detection using Twitter's AnomalyDetection method.
Rslowing
and subsemble - Multi-algorithm ensemble learning packages.
Ractive