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Thank you for making the broom.mixed package and be able to tidy model results from mixed effect modeling packages.
Recently, I fitted a nested random intercept model and realized that the random p…
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Hi,
Thanks for developing this package!
With the increasing throughput of single cell technology, a lot more samples (individuals in the context of human tissue) are being sequenced. The variation b…
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Ideas to develop about how to measure the influence of data points in DHARMa, something like Cook's distance, in a simpler and more general way.
Some references:
- Nieuwenhuis, R., Grotenhuis, M.…
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### Description
It would be interesting if we could specify a nested hierarchical structure to random effects at all Mixed Modes platform, the same way lme4 allows.
### Purpose
Increase the flexibi…
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Make similar to linear/rf models already there. Use the statsmodels package.
http://statsmodels.sourceforge.net/devel/mixed_linear.html
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I couldn't find any tidy models implementation of `coxme::coxme()` in either `broom` or `broom.mixed`. Valid to add?
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## Context
The linear mixed effects models that MSstats uses assume constant variance among its residuals. However, in MS-based proteomics, the distribution of intensity values tends to be right-ske…
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Hi there,
Sorry, this is my first time posting an issue for an R package so I am unsure what is standard protocol. If you need me to submit a full markdown file then I could probably do that.
I …
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### Description
Model comparison for multiple measurements per subject
### Purpose
multiple measures in different conditions per subject
### Use-case
_No response_
### Is your feature request …
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What methods do people use to generate prediction intervals for mixed effects models?
I just used 'predictInterval' from the merTools package to produce 95% prediction intervals and didn't exactly g…