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A Python library for moderation, mediation and conditional process analysis.

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Dear Quentin, Although the question has been asked before, #18 . I still want to ask if there is a proper way to get values of total effect from Process...

Hi there, first of all, thank you very much for your great work. I have a little question regarding the plotting capabilities. At the moment it is possible to plot...

Does this package support multicategorical antecedent X variables such as in the Hayes Process program using mcx=1? Thank you!

Right now, the tests are pretty minimal: - Compare the direct and indirect effects for all OLS models to the actual output of Process. - Does the same for Logistic...

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I use model4, where x to mediator m is an ols regression, and x, m to y is a negative binomial regression. How can I modify the code? I really...

Here is my code: ```py from pyprocessmacro import Process df["present_narration_bin"] = ( df["present_narration"] == "high present narration" ).astype(float) p = Process(data=df, model=4, x="present_narration_bin", y="attitude", m=["credible"]) ``` `df.present_narration` has type: ```...