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In my field (ecology/species distribution modelling) it is very common to use spatial resampling, and I've written some spatial `ResamplingStrategy`s, such as spatial cross-validation, and am consider…
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Hello,
I would like to use the `hmsc-hpc` extension for (spatially) cross-validated models.
To implement cross-validation in `hmsc-R`, we need to provide the cross-validation info in the `parti…
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Hi,
I have zero-inflated data which lead me to your package for BRT analysis. However, there is also spatial autocorrelation in my data. I currently use the `fold.vector` parameter in `gbm.step` (d…
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GPEP now has leave-one-out or k-fold cross validation for spatial regression. The ensemble estimation can also benefit from this ability.
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Hi @haywse @jhmarcus ,
I wanted to use feems for analysis, but I ran into some problems with it
_**# feems
from feems.utils import prepare_graph_inputs
from feems import SpatialGraph, Viz
from fe…
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We could use the same simple algorithm used for the blob rangebreak test to set aside spatially structured subsets of the data for cross-validation. This would allow a lot more independent replicates…
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Request to generate tables of quantities of interest: fold log likelihoods, etc
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When using the stDiff-sc/dataset1_seq_1670.h5ad and stDiff-sp/dataset1_spatial_246_preprocess.h5ad datasets downloaded from Zenodo for training, I encountered the following error:
```bash
ValueErr…
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Hi @qiaochen @huangyh09 , thank you for your awesome tool tranSpa which not only imputes missing genes for ST but provides corresponding uncertainty estimation. I'd like to test it on my data. However…
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From Chris Shults (+ my edits for gEAR purposes)
gEAR would be most useful for users to compare their scRNASeq or scATACSeq data to for cell annotation. They should directly take the unlabeled clus…