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Hi, thanks for this useful package!
I am modeling a scenario with a binary outcome using logistic regression for `model_y`. I get strange coefficients due to how the final model regression is set u…
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Questions by @Nastaran-ch moved into extra issue from #204:
> Dear Florian,
>
> I am planning to use Bayesian Tools package in R to calibrate a model for my PhD research project. I have read use…
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I am using `pp_average` to get the posterior predictive values across different models via Bayesian model stacking. But it seems that `pp_average` calls `posterior_predict` by default, which makes it …
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This is really two issues, but they belong together:
I have a fairly simple interval censored dataset I want to fit a Gamma distribution to. The intervals are open in the lower end and closed at th…
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I have a problem with the validation of my model. I hope that someone can help me with this problem.
I have an experimental design with different genetic isolines flies (random effect), and I want …
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```R
d 1 5.959691 8.300159 3.530216 -69.02844
#> 2 4.079490 11.439245 4.299431 -71.28811
#> 3 5.098114 9.395647 4.899456 -70.67759
#> 4 7.403645 5.253382 3.190147 -71.29800
#> 5 …
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https://mp.weixin.qq.com/s/yqWNWTdrY1MxGfE-k24Nwg
ixxmu updated
2 years ago
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I was interested in how mice performs in the Logistic Regression context under various simulation conditions. I followed the example in Section 2.5.3 of the book in this URL: https://stefvanbuuren.nam…
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Levine S, Kumar A, Tucker G, et al. [Offline reinforcement learning: Tutorial, review, and perspectives on open problems](https://arxiv.org/pdf/2005.01643.pdf).