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R inline package might be a good place to start
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**Description of the issue**
This is meant to discuss how to properly compute the covariance matrix:
- is it correct to take into account the sky coverage correction, i.e. f_{sky}=12.25/5000 to …
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When I am calling `kalmangrad.grad` as below:
```
smoother_states, filter_times = kalmangrad.grad(y, t=t / HERTZ, delta_t=1 / HERTZ)
```
I noticed that the value of `HERTZ` above makes a huge …
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To help with parameter identification and estimation due to the high number of potential parameters, should we include estimated or fixed penalties on the covariance parameters?
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Hi all,
I'm considering using this module for data fitting with various functions (mostly Gaussian), however I can't find any references on how to generate/get the covariance matrix in order to extra…
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Hi there,
I am currently using multiple OAK-d cameras on a mobile robot for pedestrian detection. I have used the Spatial Tiny-yolo example as a template and then publish detections on a ros topic …
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I would like to be able to run a GEE analysis using an unstructured covariance. In R this is very easy to do, e.g:
```
library(geepack)
geeglm(
outcome ~ . -cluster_id,
id = cluster_id,
…
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Just wanted to park your gist here since I came across it this week, looking for similar. I don't know if it's something we want to include or if it belongs in scipy or scikit-learn (I don't think it'…
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Hi! How can I output the covariance between the main effect (SNP) and the interaction effect (SNP*sex). I'm using assocTestSingle() for association tests and this is not included in the results. I cou…
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I see recurring problems when trying covariances different than "full", that is diag, spherical etc.
The code to reproduce
from smm import SMM
from sklearn import datasets
data = datasets.load_i…