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I'm currently implementing a Poisson regression model for survival data and I need to use the offset term for the count in that category. I've previously noted that the rms regression functions tend t…
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My team has been working on a problem involving scattered data in a 3D space which we need to regress onto a gridded surface. We have measurement data which has noise and can not be fit by a parametri…
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Hey there! I was wondering what exactly is the red-shaded area that I see in the following plot and why it is so spiky looking:
![image](https://github.com/florianhartig/DHARMa/assets/84935921/f13d…
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get_prediction outside tsa
current:
- OLS, linear_model: linear prediction with confidence and prediction interval
- code in `regression._prediction`
- GLM linear prediction and link.invers…
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Noise standard deviation/variance doesn't exist for logistic or poisson regression. Seems like part of it is being computed in coef_cov_quad_form, but not being used to calculate the noise_std; wherea…
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Question from a user is if DWPR, as described in Renner, Ian W., et al. "Point process models for presence‐only analysis." Methods in Ecology and Evolution 6.4 (2015): 366-379, can be used with DHARMa…
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A wishlist for probabilistic regression methods to implement or interface.
This is partly copied from the list I made when designing the R counterpart https://github.com/mlr-org/mlr3proba/issues/32 .…
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On parse, it would at some point stop printing and the trace file inside the traces folder gets so big, my computer would run out of memory, taking around 50GB.
Do I just not have enough memory or…
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There is a simple regression algorithm for counts data, called [Poisson regression](https://en.wikipedia.org/wiki/Poisson_regression). This algorithm assumes that every regressor has a multiplicative …
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related issues (mostly in context of discrete cases, with variance differing between null and alternative)
- #8561
- #8159
- #8652
Our power classes can solve for minimum detectable effect size.…