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# Notebook proposal
**Title**: Confirmatory Factor Analysis and Structural Equation Models
## Why should this notebook be added to pymc-examples?
This fills a gap in the coverage we have of CFA a…
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What do you want to find out?
Determine the primary goals of the analysis. For example, do you want to identify key factors influencing customer churn or segment customers based on their behavior?
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I would like to write a short tutorial on using numpyro for factor analysis and probabilistic principal components analysis (PPCA), following the exposition in Murphy (2012) chapter 12. Opening an iss…
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This is initially a question for @volloholic and @lilyclements. Margins for tables is quite an important idea. R has the addmargins function. I suggest it is a low-hanging fruit to include an Add M…
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In a structural equation modeling framework, we often define latent unmeasured variables with indicators. For example
```
library(lavaan)
data(PoliticalDemocracy)
mod |z|)
.x1 …
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Running the output_bonds.py script, provided in analysis/src/oxDNA_analysis_tools folder, results in "`TypeError: cannot unpack non-iterable NoneType object`".
It happens with CPU and as well with …
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[Here](https://www.sc-best-practices.org/preprocessing_visualization/normalization.html#shifted-logarithm) there is a size factor calculation in R which can be painful (i.e. setting up stable environm…
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Now that correlation is on CRAN, we could add robust=F option to factor_analysis so that it would be based on a robust correlation method (spearman, percentage bend, sheperd's pi or biweight via `robu…
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using e.g. MOFA https://biofam.github.io/MOFA2/