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Hi @aknvictor,
Thank you for your pull request to lingam.
https://github.com/cdt15/lingam/pull/128
DirectLiNGAM allows causal discovery using prior knowledge, but culingam's DirectLiNGAM does …
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Hi all,
I'm tryig to use the SCM module, in prticular falsify_graph.
The code (i'm using streamlit) is the following:
auto_assignment_summary = gcm.auto.assign_causal_mechanisms(
scm, data…
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Hi, when I try to run this code, there is an error:
```
from causallearn.search.FCMBased import lingam
model = lingam.ICALiNGAM()
model.fit(data)
from causallearn.search.FCMBased.lingam.utils i…
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Hi
I have been trying to use LiNGAM in the bivariate case, however, the current implementation does seem to support this as it seems to only work on graphs for now. Ideally, I would like to use it …
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LiNGAMは非ガウスを前提とするとありますが、コード上のノイズをガウスN(0, 1)としても、求められるB_estも変わらず、よって構造方程式係数推定にも影響がありません。これはどのように理解したらよいのですか?
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Hi, I was wondering whether you planned on writing supporting code for bootstrap analysis, currently the lingam package is way too slow using inefficient code.
However, it remains a good example, …
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Hi, thanks for your work. Would this package support the lingam with latent confounder?
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```
## This is 30 times slower
model = lingam.VARLiNGAM()
result = model.bootstrap(process_df, n_sampling=1)
```
```
## Than the following
model = lingam.VARLiNGAM(lags=lags)
process_df =…
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I'm using the latest version of the package (1.2.1) and have come across what I think must be a bug when trying to use LiNGAM. I originally noticed this when looking at my own data, but this minimal s…
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I ran the following code and an error occurred:
```
rng = np.random.default_rng(seed=0)
x = rng.random(size=80)
y = 10 * x
df_x_y = pd.DataFrame({'x': x, 'y': y})
lingam.VARLiNGAM(random_state=0…