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#### Is your feature request related to a problem? Please describe
I'm wanting to fit a zero inflated negative binomial and plot the fit with the output parameters. However I cannot understand how th…
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see also #2215 for relative risk/risk ratio
NNT is the inverse of the risk difference (difference in proportion or rate)
confidence interval might have two segments going to +inf and -inf which can b…
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While I can get the package to work with these kinds of models, the stated predictions don't match when the model is not reg:linear (using "regression" type). Would it be possible to support these typ…
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Hello below error keeps killing my executors when trying count:poisson regression
## Environment info
Operating System: Databricks Runtime 4.1 ML
XGBoost included in the runtime: 4.1 ML Beta (in…
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**Submitting authors:** @y248guo @max780228 @katerinkus @adrianne-l
**Repository:** https://github.com/UBC-MDS/DSCI_522_Bee_Count_Comparison_Group_26
**Report link:** https://github.com/UBC-MDS/…
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We are interested in implementing the bas.glm() function cannot be applied in a quasi-Poisson or negative binomial regression model framework. It would be very useful to deal with over-dispersed count…
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Hello, I am trying to better understand a model I have run using glmmTMB() by following https://stats.idre.ucla.edu/r/dae/poisson-regression/
They use the package "sandwich" and the function vcovHC…
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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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I wonder how I could check the default value of function tolerance and maximum of iteration when using statsmodels.sandbox.regression.gmm.fit.
For example, I have the following code:
model = gmm…
yl-hz updated
4 years ago
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#### Goal
A space to discuss thougtfully and amicably, if the topic of discrimination and bias should be addressed in the documentation (examples and user guide):
- bias in model
- bias in data
…