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### Current Behavior
When merging the landcover and enabling the option "clean artefacts" there are still fake bridges present in the merged land cover.
### Expected Behavior
Clean artefacts rem…
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**Context:**
I often work with data that are censored. The approach for censored data implemented in `brms` is really useful, but I have found it to be slow - especially when a large part of the da…
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### 1. Feature description
Although, in the CSDI paper, the authors discussed using the model for time series forecasting, their experiments and scenarios are for complete time series. However, the m…
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Hi Team,
Firstly I want to say thank you so much for implementing a truly model-agnostic method for counterfactuals! I've been searching for many months now for a counterfactual tool I can easily …
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Hello, I really like the DMA function you guys have put together! I have data that has already undergone batch correction, imputation, and natural log transformation. Is it suitable to use the DMA fun…
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Request for project inclusion in scikit-learn-contrib
* Project name: Qolmat
* Project description: Model selection for missing values imputation, based on cross-validation. Comparing imputation m…
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- take a list of missing row/column ids (no automated detection)
- Only imputes for rows/columns with 'good' neighbors (ie. no consecutive missing)
Runs:
- D01355: missing row 37
- D01270: missi…
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Thanks for a great package - it has been fantastic for balancing stimuli sets in complex experiments. I was wondering if there's any way to include a variable with NA values conditional on a categoric…
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Dear @rvlenth
I'm trying to git GEE-fit ordinal regression from the multgee package and follow it with emmeans under multiple imputation.
Neither multgee is supported, nor itself it "talks" with …