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I looked by chance again at https://stats.stackexchange.com/questions/526459/how-to-correct-conditional-poisson-standard-errors-for-over-dispersion
In the example the user uses `cov_type` in `fit` …
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The following decisions need to be made:
• Model Structure:
- Origin-Destination vs Origin
- TOD vs Daily
- Include vs Exclude Entities without Chicago Data
• Modeling Technique
- OLS vs Po…
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triggered by looking at the computation of IRLS weights in #4267
We currently don't use any special casing and simplified computation in GLM when a canonical link function is used.
This would cr…
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- [ ] Additional function parameters / changed functionality / changed defaults?
- [ ] New analysis tool: A simple analysis tool you have been using and are missing in `sc.tools`?
- [ ] New plotti…
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Totally inexperienced user. My first Negative Binomial Regression. iPython on Google's Colab. I load the dataset as a pandas df. The features (and Target) in the formula below all appear in the df (wh…
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I'm doing a multilevel negative binomial regression:
```
fit_model
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# Sunday
## Ch 7: GCP for Marketing
Pam Castricone (Head of Data Science) & Tyler Blatt (Head of Integrations)
- Pareto Negative Binomial Distribution model
- Non-contractual transactions wh…
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Hi and thanks for a great package!
I have two small questions.
1) What would it require to implement a beta-distribution to fit fractions or probabilities?
2) I see that a very similar libr…
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We currently don't have any numdiff fallback if some analytical derivatives are missing in the model
I'm trying out MLEInlfuence(res) where res is a NegativeBinomialP results instance.
but I get
…
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The way the exponential growth rate is estimated here currently (in `fit()`) is to use a log-linear model (linear model similar to `lm(log(incidence) ~ date)`. For the log to work you need to remove t…