da.lmerMod.fit: Provides fit indices for hierarchical linear models, based on...

In dominanceanalysis: Dominance Analysis

Description

Provides fit indices for hierarchical linear models, based on Nakagawa(2013) and Luo and Azen (2013).

Usage

da.lmerMod.fit(original.model, null.model, newdata = NULL, ...)

Arguments

original.model	Original fitted model
null.model	needed for HLM models
newdata	Data used in update statement
...	ignored

References

• Luo, W., & Azen, R. (2012). Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis. Journal of Educational and Behavioral Statistics, 38(1), 3-31. doi:10.3102/1076998612458319

• Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133-142. doi:10.1111/j.2041-210x.2012.00261.x

See Also

Other fit indices: da.betareg.fit(), da.dynlm.fit(), da.glm.fit(), da.lm.fit(), da.lmWithCov.fit(), da.mlmWithCov.fit()

dominanceanalysis documentation built on Jan. 13, 2021, 3:47 p.m.