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I think a useful addition would be the Linear Quantile Mixed Model. As with quantile regression, it has become a fairly popular go to modelling approach especially in psychology / education. I think s…
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Hi @Jianguo99,
While i was using your amazing tool, i come up with an error in the generation of the loss. It seems that your implementation is not correct. It gives a sum of the losses instead of …
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Hi,
Thank you so much for this software. I was trying to install with make, but I get the following error:
Sorry is very long. I wonder if I have to change something on the makefile but not sure w…
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### Discussed in https://github.com/pykale/pykale/discussions/392
Originally posted by **Schobs** July 14, 2023
Discussion for TODO items on the QBin Refactor.
Currently @ PR [here](https://g…
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For `sklearn` **version 0.23.2**, the parameter `criterion` of `RandomForestRegressor` only supports `mse` and `mae`. Is there any plan to extend these two options for a general quantile (e.g. 95% q…
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I'm working on adding array API support in `scipy.stats` (scipy/scipy#20544) and one of the the things I'll need is a `quantile` function. If there is some support for this idea, I'll convert this iss…
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### Component(s)
processor/transform
### Is your feature request related to a problem? Please describe.
There are functions like `convert_summary_count_val_to_sum` and `convert_summary_sum_val_to_s…
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Something like `dur_inf = ss.lognorm_ex(quantiles=([0.5, 0.9], [5, 10])` to specify that 50% of durations are
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👋, @deadtrickster.
First of all, great work on this lib.
Recently, while compiling with OTP 26, we started seeing some `quantile_estimator` -related issues:
* float format -related
* auto-im…