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Integrating a function at many points with respect to the empirical distribution requires a large amount of computation.
Is there a good way to get a discrete approximation with few points to an em…
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Example:
`
PinheiroJ
BatesD
DebRoyS
SarkarD
R Core Team
nlme: linear and nonlinear mixed effects models
R package version 3.1-89
http://cran.r-project.org/package=nlme…
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e.g. for ``, when `` and `` are present, without `` or ``:
``` xml
PinheiroJ
BatesD
DebRoyS
SarkarD
R Core Team
nlme: linear and nonlinear mixed effects models
R packag…
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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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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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`score_test`, `get_distribution` and `get_influence` are not supported by truncated and hurdle models.
They raise exceptions a various places mainly indicating a missing model methods,
e.g. score…
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I'm using nlme::nlme and there because of the nonlinear estimation it seemed like I really needed to standardize the covariates with the scale function in order to get many of my models to fit reliabl…
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I think solver flags such as `-nls` should be thought as a last resort for experts and development work, not as something that people should normally tamper with.
The standard behaviour for "norma…
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Just trying to get a rough overview what I'm planning for 0.14
- diagnostics, score tests
- missing pieces in discrete (avoiding PRs that get too large or widespread).
- main difficulty will…