🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
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Updated
Jun 2, 2024 - R
🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
A small collection of lesser-known statistical measures
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
Lévy's alpha-stable distribution for the Jax numerical framework
📊 Computation and processing of models' parameters
Direct and robust methods for outlier detection in linear regression
Tidy data frames and expressions with statistical summaries 📜
Trimmed L-moments and L-comoments for robust statistics.
Robust locally weighted multiple regression in Python
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
The ConfidenceEllipse package provides functions for computing the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset, at user-defined confidence level.
Delicatessen: the Python one-stop sandwich (variance) shop
Implement some Robust Mean Estimators
Robust estimations from distribution structures: Mean.
Robust estimations from distribution structures: Central moments.
Robust estimations from distribution structures: Invariant moments.
Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.
R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
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