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Hi @jepusto,
I tried your Fisher_info() in {lmeInfo} and found that the function is not defined when type = "observed" although the help file specifies that "observed" is an option. Currently, it …
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I've been fitting some mixed models to genomic (transcriptomic) count data, and wanted to assess model fit. I've tried out a few models and a few options for R2, however they give wildly different R2 …
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- [x] Remove Permalink Icon
- [ ] Fix some formation issues for autodoc (e.g. uf_addmarginal)
- [ ] code-examples in API should be code-block style, then you can ctrl+c + ctrl+v out of it.
- [x] …
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Hello,
I came across bias adjustment for [frequentist models involving response transformations and/or random effects](https://cran.r-project.org/web/packages/emmeans/vignettes/transformations.html…
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as we're hoping on being able to run R3.4 any day now it might be nice to try and upgrade the python version to a more faster modern version. will require some debugging of old pandas mainly. should j…
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How is this evolving in the moment? Looking at the sandbox there does not seem to be too much change.
I've got a couple of use cases for which I ideally need to report 'repeated measures' analysis
Als…
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The MLE is known to be biased for the pooled testing problem. Using Firth's correction seems to be a good way to correct this. The details of how to implement this for estimating a single prevalence (…
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@bbolker I came up with a method that enables me to generate random effects model predictions on big data. I currently have a computer with 256GB memory, 32 cores, and I was able to generate predictio…
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Hi all and thanks so much for creating this wonderful package!
I'm working with longitudinal data where I have repeated measures (6 sessions) for each of my participants and would like to model dif…
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We have standalone ztest and ttest for independent and paired samples, but we don't have standalone function for correlated moments. This is similar to t_test or wald_test in models where we have the …