Description Usage Arguments Examples
This function computes a pseudo R-squared value for the amount of variance explained in a variance component of nested nlme model objects. This function is specific to 2-level models. Note that model1 is nested in model2.
1 | pseudoR(model1, model2, varParam)
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model1 |
A fitted nlme object with fewer fixed effect parameters than model B, but with an equal number of variance components. |
model2 |
A fitted nlme object with more fixed effect parameters than model B, but with an equal number of variance components. |
varParam |
The variance component that you are interested in computing an pseudo R-squared for. That is, the variance component that you expect to change due to adding a fixed effect. |
1 | randomCI(model1, "time")
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