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Distributor ID: Ubuntu
Description: Ubuntu 16.04.2 LTS
Release: 16.04
Codename: xenial
```
# note: this works, well, doesn't work, that is, it breaks with "real" (read: "truthy") data as well =…
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Greetings,
Please put a means to implement pcmax in r-causal. I am performing randomized sub-sampling of millions of rows/observations (and between 20 to 30K+ discrete binary variables) and I am goi…
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I am trying to run the command
```
tetradrunner
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[Causal-learn](https://github.com/cmu-phil/causal-learn) "is a python package for causal discovery that implements both classical and state-of-the-art causal discovery algorithms, which is a Python tr…
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@chirayukong
Hi, this problem came from Peter Spirtes, through the Helpdesk:
I tried to follow the instructions for using r-causal but I could not get it to work.
install.packages("stringr")…
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Hi,
Thank you for the excellent repository! It has been exciting exploring the discovery tools in this repository lately. I was using the data from Sachs et al. 2005 before I realized the data was …
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Thanks for the software. It has been really helpful to us.
I believe there is a memory leak in r-causal's tetradrunner when resampling is selected. Code to reproduce is as follows:
library("rJav…
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**Describe the behavior you would like added to Foyer**
Some force fields utilize non-standard functional forms for bonded interactions; in particular, different torsion types within TraPPE. Non-stan…
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May I know if there are any examples of causal-learn usage on mixed data (categorical and continuous/ordinal)? This is supported in tetrad. Many thanks!
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When I
a