CausalSpyne
A Python package for simulating data from confounded causal models.
Quick start
Install with: pip install causalspyne
Generate some data:
from causalspyne import gen_partially_observed
gen_partially_observed(size_micro_node_dag=4,
num_macro_nodes=4,
degree=2, # average vertex/node degree
list_confounder2hide=[0.5, 0.9], # choie of confounder to hide: percentile or index of all toplogically sorted confounders
num_sample=200,
output_dir="output",
rng=0)
Submodules
git submodule update --init
2 maintainers
Metadata
2 maintainers
Release files for causalspyne 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| causalspyne-0.1.6.tar.gz | 85.6 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| causalspyne-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 115.8 kB
Release files / causalspyne-0.1.6.tar.gz
| Download URL | causalspyne-0.1.6.tar.gz |
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| Size | 85.6 kB |
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Release files / causalspyne-0.1.6-py3-none-any.whl
| Download URL | causalspyne-0.1.6-py3-none-any.whl |
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| Size | 30.2 kB |
| Tags | Python 3 |
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