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Currently library allows to generate Poisson and binomial random variate using condensed tables algorithm. It is very fast but require building lookup table which is costly. It makes this algorithm un…
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The statistical model doesn't allow it, but there may be some reasonable use cases where one allows non-integer responses in a Poisson GLMM. The current code doesn't handle this case well (returns `I…
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Dear team,
Thank you for the tool. Upon using the negative binomial approach, I am error with the multiprocessing freeze
![image](https://github.com/user-attachments/assets/89cb167b-f15d-45d5-bf0f…
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It looks like the use of poisson_log is incorrect, because the expression used (see below) is for the Poisson rate not the Poisson log rate.
```
Y[i, j] * exp(beta * Z[i]) * dL0[j] # this is Poi…
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### Checklist
- [X] I have searched for [similar issues](https://github.com/isl-org/Open3D/issues).
- [X] For Python issues, I have tested with the [latest development wheel](http://www.open3d.org…
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I am new to `glmmTMB` and I really like what this package offers. The research problem I encounter requires implementing new family, i.e. zero-one truncated Poisson distribution (we observe only y>=2 …
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just wanted to point this out. Occasionally you get the following error when using inference benchmark :
```
2024-09-17 07:56 INFO User selected random dataset. Generating prompt and output l…
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For https://github.com/sktime/skpro/issues/423 and other GLM interfaces, we would need a Tweedie distribution.
The Tweedie distribution has a number of difficulties:
* it is parameterized by a p…
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I'm running zero inflated glmmTMB models with count data "EVCounts".
Using the dput() command, my dataset is as follows:
```
structure(list(name = c("ANUBIS", "ANUBIS", "ANUBIS", "ANUBIS",
"ANUBI…
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Hi, I'm currently using your learned gradient tomography in a 3D case.
I would like to use a poisson noise instead of a white noise
So in your generate_data function I replace:
```
data = operat…