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Would it be possible by any chance for investr to also support scam (https://cran.r-project.org/web/packages/scam/index.html) and mgcv::gam (https://cran.r-project.org/web/packages/mgcv/index.html) mo…
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In the model page (https://github.com/unit8co/darts?tab=readme-ov-file#forecasting-models) we can see that for AutoARIMA and StatsforecastAutoCES probabilistic forecasting is set to not applicable but…
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```
library(earth)
#> Loading required package: Formula
#> Loading required package: plotmo
#> Loading required package: plotrix
library(ggeffects)
library(tidyverse)
fit summary()
#> Call:…
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I have been working for some time with Temporal Fusion Transformers from pytorch_forecasting and I was facing an annoying tradeoff:
My validation set was too short meaning it was not representativ…
Seam8 updated
3 months ago
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### Module
None
### Contact Details
_No response_
### Current Behavior
I have two qunatile catboost regressor model but crq.predict(X_test, alpha=0.05) throws an error :- TypeError: _quantile_dis…
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It would be great if support can be added to compute simultaneous confidence intervals, similar to routines available in emmeans, rms, etc.
drs81 updated
18 hours ago
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the `nls` fit I use is quite reluctant to produce useful uncertainty intervals. Any help is appreciated in making suggestions on how to improve the error bars for my predictions!
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Hello,
In the paper, you mentioned, "The network makes predictions for each base in the genome based on coverage values from a surrounding region spanning several kilobases `6kb for the models`".
…
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I haven't looked at the details. This is mainly a reference to a (down stream) use case.
seaborn has bootstrap confidence intervals for logistic regression, which is slow. We should have them availab…
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I'd like to be able to make this plot, visualizing a discrete predictor, with estimated group means and _prediction_ intervals. I'd also like to include densities.
``` r
library(see)
dat_mtcars