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Allow users to specify a base predictor that predicts population, cluster, or cohort models, so that contextualized models only learn context-specific effects not represented in the base predictor.
…
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In some cases one could have predictor variables that are censored. It could be handled as a missing data problem, with restrictions on the values (which depends on whether the data is right-, left- o…
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### What happened + What you expected to happen
Is it possible in Nixtla to use the predict method to extend the forecasting over the whole test set length? e.g. train a NeuralForecast model to predi…
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Need to do first some 'dumb' predictors, that only use some simple statistics to predict the score.
They are fast to use, and can be quite efficient already.
This goes in pair with some data explorat…
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```
pip install papermage.[dev,predictors,visualizers]
zsh: no matches found: papermage.[dev,predictors,visualizers]
```
Ubuntu 22.04, Python 3.12.2
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Hello,
I encountered an issue when using the performance package to assess multicollinearity in Cox proportional hazards models. When I specify a model with exactly two predictors, the function che…
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Hi all, thanks again for a very nice and useful package. The adherence to `ropensci` policies make this such a nice goalpost for Bayesian modelling package development, so kudos! I just have a questio…
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https://github.com/egouldo/ManyAnalysts/blob/28c4a40fa016deae5837cf59b2b22f8e18b8f170/index.qmd#L3789\
I included a placeholder citation for the new forest plot that excludes the effects from blue …
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Add construction of maps of the predictors and the analogues.
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Dear biomod2 team,
**Context and question**
I have collected occurrence data from species between the years 2000-2020. I would like to use this data to model the present-day habitat suitability. …