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### Description
New robust statistical procedures as contained in the WRS2, bmtest GRD & flipscores Packages
### Purpose
Incorporate widely used robust statistical procedures
### Use-case
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**Reviewers:**
Submitting Author: Jouni Helske (@helske)
Other Package Authors: (delete if none) Name (@mvihola)
Repository: https://github.com/helske/bssm
Version submitted: 2.0.0
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### Project to be claimed
`ppi`: https://pypi.org/project/ppi
### Your PyPI username
`aangelopoulos`: https://pypi.org/user/aangelopoulos
### Reasons for the request
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- Repository: https://github.com/MetaboComp/batchCorr
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- Repository: https://github.com/trichelab/bamSliceR
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Hello,
I am trying to run the SHARE-Seq pipeline starting from the preprocessing step on an HPC.
- Could someone share an example JSON and other required preprocessing files for starting the ana…
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I noticed installation failed in the docker container `rocker/tidyverse` see below. This is resolved when `xz-utils` are installed. It might be good to add this to the system requirements or atleast i…
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Hi there!
I've been enjoying working with {glmmTMB} a ton. I've been using beta regression quite a bit, which handles cases with two (e.g. proportion time spent active/passive). But with more complex…
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Hello,
I’m experiencing an issue with including statistical tests in the HTML output of a Shiny app using the `arsenal` package. Despite setting `pfootnote = TRUE` in the `summary(tableby(...)) `func…