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# Notebook proposal
**Propensity Score Non-Parametric Models**
## Why should this notebook be added to pymc-examples?
There is a widely used approach to causal inference using propensity scores t…
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Creating this issue to document my observations, readings, and development efforts towards building a solution for predicting the replaced mode in the absence of inferred labels.
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Above are histograms of posterior probability distri…
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**Title:** Numerical Hypothesis Testing Function - Back End Core of `predict_hypothesis()`
**Description:**
The `hypothesis_predictor_core_n` function conducts hypothesis testing on numerical data…
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I'm sorry, but I've encountered a new problem again.
While I was following the "PolyFun approach 3: Computing prior causal probabilities non-parametrically", specifically on step 2 "Run PolyFun wit…
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I'm very interested in trying out this method!
I was wondering - when preparing the data with DeSeq - what preprocessing steps did you typically do? I'm curious about the normalization method as I…
deto updated
4 months ago
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Hi Dr. Boshnakov (@GeoBosh),
Thank you for creating such a wonderful package. I'm currently trying to
use `Rdpack` in the `roxygen2` comments for a function in an `R` package I'm writing.
I enco…
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Submitting Author: Raktim Mukhopadhyay (@rmj3197)
Package Name: QuadratiK
One-Line Description of Package: QuadratiK includes test for multivariate normality, test for uniformity on the sphere, no…