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**objective:** collect the tools, functions or classes, for handling non-i.i.d. covariance structures
The idea is to get reusable components for a mix-and-match system as complement to the (more effi…
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(parking some references)
previously I only looked at model averaging in linear models. There is also a literature for Poisson, discrete and other nonlinear models.
Zhang, Xinyu, and Chu-An Liu …
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Interesting post on mixed models in different languages!
One thing to note is that 3 groups is a very small number of levels for a blocking variable, see e.g. [here](https://www.muscardinus.be/201…
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When trying to predict with standard errors from a fitted model (mixed effects beta regression), like so:
```
predict(m, newdata=df, se.fit=TRUE)
```
I often get the following error message:
```
…
-
``` r
model Warning: Objects of class 'list' are no valid model objects.
#> NULL
model Warning: Objects of class 'list' are no valid model objects.
#> NULL
```
Created on 2021-02-16 by the […
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"As the (approximate) degrees of freedom are based on the samples: the same statistics with the same design may produce different p-values (using methods like Satterthwaite). So maybe the scale of t…
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* Enhancement: add the ability to check assumptions of mixed models and quantify the performance of models
* Purpose: improve transparency of analysis
* Use-case: mixed models are becoming increasin…
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The aim here is to show:
* how to build training sets and run the models
* what models and methods are implemented
* Mention ascertainment bias https://github.com/gaynorr/Alph…
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``` r
citation("sensorweb4R")
```
returns the warning
```
Warning message:
In citation("sensorweb4R") :
kein Datumsfeld in der Datei DESCRIPTION des Paketes ‘sensorweby’
```
nuest updated
9 years ago
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Looking at the possible models, nothing quite works for what you need. I'll try to make a sketch but will first list the pros/cons
1. cobs fits the kind of model we want, splines with knots. So bet…