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arXiv论文跟踪
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Hi all,
thanks for corncob. I've enjoyed using this package so far.
I have a conceptual question - is this approach applicable to longitudinal data? If, for example, I wanted to look for differ…
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Dear all,
I've started reading MLJBase in an attempt to develop spatial models using the concept of tasks. Is it correct to say that the current implementation of tasks requires the existence of da…
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From: Brian Gough
Hello,
Here are some patches for R-intro.texi, to correct various typos,
missing words, and minor inconsistencies in formatting.
Each patch is preceeded by its corresponding 'wdif…
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Using the nlme R package, it is possible to specify a covariance matrix form (i.e. CS, Symm) for the residuals.
Using the systolic blood pressure data set in the MethComp package, and filtering out o…
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Should be able to add a "formula" parameter such that we can also natively support interactions (which seems to be one reason why people use *--no-regress*)
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Dear Paul,
First, **thank you** for brms. It is always a pleasure to work with it.
The possibility to include spatial autocorrelation structures in models like car / icar / sar etc. is a really …
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I'm trying to fit models where there are random slopes for multiple random effects, and this is resulting in errors about there not being the right methods for the given types. Reprex using the exampl…
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There have been many proposals for how to simplify error handling in Go, all based on the general complaint that too much Go code contains the lines
```
if err != nil {
return err
}
```
…
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Example [data](https://gist.github.com/Nosferican/7b1b503b9db347290e1eb854d9339751)
MixedModels is master.
```
using CSV, DataFrames, MixedModels
data = CSV.read(data)
categorical!(data, [:id, :s…