githubcausalsvm
Causal Estimator
An R implementation of a machine learning approach to estimate the effect of treatment on individuals
Code to implement causal SVM
5 stars
2 watching
1 forks
Language: R
last commit: over 6 years ago Related projects:
Repository | Description | Stars |
---|---|---|
google/causalimpact | An R package for estimating the effect of an intervention on time series data | 1,706 |
nredell/shapflex | A package for computing asymmetric Shapley values to assess causality in machine learning models | 71 |
roronya/causalmodels | Provides a Python package for structural causal modeling of multivariate time series data | 2 |
fixedeffects/fixedeffectjlr | An R package that provides an interface to estimate large fixed effect models using Julia's FixedEffectModels.jl library. | 21 |
dppalomar/covfactormodel | A package for estimating covariance matrices using factor models in financial data analysis. | 32 |
msuzen/looper | A collection of resources and code snippets for understanding causal relationships in various fields. | 255 |
fentechsolutions/causaldiscoverytoolbox | A comprehensive Python package for causal inference and graph structure recovery from observational data | 1,128 |
r-causal/ggdag | A package for creating and analyzing causal directed acyclic graphs using a consistent and easy-to-use API | 438 |
nytud/hucopa | A dataset of Hungarian translations of English 'cause-and-effect' questions with plausible alternative answers | 1 |
ricardobcl/dotted-version-vectors | A data structure to track the causal history of values in a distributed key-value store | 351 |
sciruby/statsample-glm | An extension of Generalized Linear Models to Statsample, providing tools for statistical analysis and modeling. | 23 |
ethicalml/xai | An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,125 |
evllabs/jgaap | An open-source tool for applying machine learning to text attribution problems | 261 |
zeroqiaoba/affectgpt | Develops an explainable multimodal emotion reasoning model that integrates multiple clues to generate comprehensive descriptions of emotions. | 119 |
irinagain/mixedcca | Software package implementing sparse canonical correlation analysis for mixed data types | 20 |