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When attempting to merge three 14B LLMs on a custom task using the mergekit-evolve method, I ran into memory overflow issues on 8 A100 GPUs, each with 80G of memory. Could you please let me know if 4-…
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Like here for glmmadaptive:
https://github.com/drizopoulos/GLMMadaptive/blob/master/R/methods.R#L507
Nice to have for lme4 and glmmTMB as well.
Might fit into this pkg?
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Regression (_e.g._ linear regression, logistic regression, poisson regression, etc) is a very important in machine learning. Many problems can be formulated in the form of (regularized) regression.
…
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Hi Florian,
I have two questions concerning the outlier test in DHARMa. My first question is: can it be used to identify outliers (e.g. data points with strong influence) similarly to Cook's Distan…
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(parking a reference)
This article looks like it has a good overview of methods for meta-analysis of risk difference, based on a very brief look at the article.
Guo, Juanru, Mengli Xiao, Haitao …
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Hi,
I am running a model on a proportion with betabinomial(link = "logit") family, there is overdisperssion in my model.
In this paper Bolker et al (2008) Generalized linear mixed models: a practica…
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As I brought up on slack, it would be nice to have a way of directly creating plots form fitted statistical models. I've been able to make a plot similar to this for linear models:
![image](https:/…
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Copied from [CrossValidated](http://stats.stackexchange.com/questions/127479/glmer-in-r-significance-estimates-are-not-robust-to-order-of-data-frame)
```
library(lme4)
set.seed(999)
# make a somewha…
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I am trying to fit a Gamma model to a reaction time data (there is a recent paper that argues for not transforming RTs and using GLMM with Gamma or Inverse Gaussian --> http://journal.frontiersin.org/…
hikea updated
5 years ago
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## Problem
I need help specifying the mixed logistic growth models for the `alda::cognitive_growth` experiment covered in Chapter 6, section 6.4, with `nlme::nlme()` and/or `lme4::nlmer()`. I'm not…