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To get familiar with using Py-Tetrad, I wanted to run GRaSP-FCI on simulated data. Stealing bits of code from `jpype_example.py`, I did something like:
`D, G = simulateLeeHastie(num_meas=10, samp_s…
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I am using the Tetrad GUI app. When I load the data, I am getting error but it doesn't make sense.
My data set includes 93 rows and 55 columns only. My variables are discrete but float numbers.
!…
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I am using the simulateLeeHastie function to generate a ground truth DAG and synthetic data from it (20 measured and 5 latent variables, in this case). The ground truth DAG includes the latent variabl…
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A filter for tetrad and some of the other filters combined - nested queries. Perhaps this is another function but could filters allow me to create a list of tetrads or monads ordered by the number of …
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### Description
Additional Test in SEM to test causal hypotheses among variables
### Purpose
To choose the correct measurement models
### Use-case
Confirmatory tetrad analysis in PLS-SEM (CTA-PLS…
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Hello!
I was wondering if I can get some help with the error. I followed all the recommendations in ipyrad page and the input data its from ipyrad too.
>>> data = "/mnt/netapp1/Store_csbepgnf/se…
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Runs for a while and then crashes:
```
[ ] 0% 0:00:00 | full tree * *** Error in `/home/isaac/miniconda2/envs/momi-py36/bin/python': malloc(): smallbin double linked list corru…
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Tetrad is Java based and supports various causal learning algorithms
http://www.phil.cmu.edu/tetrad/
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Hello author, I have 58 continuous variables, want to find the causal relationship between these variables, first I use the BOSS algorithm (using the default parameters), and set the level constraint …
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In the hepar2 example GRaSP clearly outperforms all other methods (Fig. 8 (c) and (d) in the paper) . After some inspection, it might be because in the instance the variables are topologically ordered…
mwien updated
1 month ago