MC_modelAvg: Multi-Core Version von Model Averaging Funktionen aus...
In RMKruse/helpeR: R-Helper-Files meiner Arbeit
Description
Usage
Arguments
Author(s)
References
See Also
Description
Unterschied zur originalen Version, ist dass hier Multi-Core Support besteht.
Usage
1
MC_modelAvg(models, opt = TRUE)
Arguments
models
liste an kandidaten modellen fürs model averaging
opt
Parameter ob die Augmented Lagrangian Optimierung genutzt werden soll. TRUE = JA.
Author(s)
Rene-Marcel Kruse
References
Saefken, B., Ruegamer, D., Kneib, T. and Greven, S. (2018):
Conditional Model Selection in Mixed-Effects Models with cAIC4.
https://arxiv.org/abs/1803.05664
Greven, S. and Kneib T. (2010) On the behaviour of marginal and
conditional AIC in linear mixed models. Biometrika 97(4), 773-789.
See Also
RMKruse/helpeR documentation built on Feb. 28, 2020, 8:12 a.m.
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Description Usage Arguments Author(s) References See Also
Description
Unterschied zur originalen Version, ist dass hier Multi-Core Support besteht.
Usage
1 | MC_modelAvg(models, opt = TRUE)
|
Arguments
models |
liste an kandidaten modellen fürs model averaging |
opt |
Parameter ob die Augmented Lagrangian Optimierung genutzt werden soll. TRUE = JA. |
Author(s)
Rene-Marcel Kruse
References
Saefken, B., Ruegamer, D., Kneib, T. and Greven, S. (2018): Conditional Model Selection in Mixed-Effects Models with cAIC4. https://arxiv.org/abs/1803.05664
Greven, S. and Kneib T. (2010) On the behaviour of marginal and conditional AIC in linear mixed models. Biometrika 97(4), 773-789.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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