Expand description
§CausalHub
CausalHub is a library for causal inference and causal discovery. It provides tools for estimating causal effects, learning causal structures, and more.
Modules§
- assets
- Assets such as datasets, models, and other resources.
- datasets
- Dataset structures.
- estimators
- Parameter and structure learning algorithms.
- inference
- Inference algorithms.
- io
- Input/output functions.
- models
- Models structures.
- random
- Random generators.
- samplers
- Sampling algorithms.
- types
- Support types.
- utils
- Utility functions.
Macros§
- impl_
json_ io - A macro to implement the
JsonIOtrait for a given type. - labels
- Create a
Labelsset from a list of string-like values. - map
- Create a
Mapfrom a list of key-value pairs. - set
- Create a
Setfrom a list of values. - states
- Create a
Statesmap from a list of variable-state pairs.