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I have read with interest your 2017 paper ‘Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm’ (https://doi.org/10.48550/arXiv.1503.00890), and would lik…
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### JASP Version
0.19 beta
### Bug Description
I scraped some modules for strings that are not yet translatable. Found them in:
- [ ] generalized linear mixed models
- [ ] linear mixed mo…
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We have made the choice of full and modified Newton method optional.
Full Newton method is still the default since FV is also still the default, for which the modified Newton showed mixed results wit…
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hi!
I just wanted to report a memory usage issue when calling `get_variance` with a linear mixed effects models. I'm new to R and mixed effects models in general, so sorry if something doesn't make…
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Right now, the main statistic being reported by statsmodels is the loglikelihood statistic
It would be great if we could support other meaningful model statistics (i.e. [R^2](https://jonlefcheck.ne…
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![Video from awesomescreenshot.com](https://awevideo.s3.amazonaws.com/video-1547059-32a3d90c405eb3615869ebae8a380ac9_960x540.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAJSCJQ2NM3XLFPVKA%…
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Would it be possible to include some more information in the returned objects from `svylme()`, or adding some more methods? Like `nobs()`, `family()`, maybe the call, the model frame, AIC, ... etc.? W…
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I'm going to find the correlation between the contribution of each type and the 'score'. So I use the proportion of each type as X, the score as Y. I have 150 types and obviously each sample has: x1+x…
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run Linear Mixed Effects Models as :
data = sm.datasets.get_rdataset("dietox", "geepack").data
md = smf.mixedlm("Weight ~ Time", data, groups=data["Pig"])
mdf = md.fit()
print(md…