This is what I was looking for. When I initially read about model.avg
I didn't recognize it also provided variable scores.
Thank you kindly,
Mike
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PLEASE do read the
Why go to so much trouble? Why not fit a single full model and use it? Even
better why not use a quadratic penalty on the full model to get optimum
cross-validation?
Frank
nofunsally wrote:
Hello,
I'd like to sum the weights of each independent variable across linear
models that have been
Hello,
I'd like to sum the weights of each independent variable across linear
models that have been evaluated using AIC.
For example:
library(MuMIn)
data(Cement)
lm1 - lm(y ~ ., data = Cement)
dd - dredge(lm1, beta = TRUE, eval = TRUE, rank = AICc)
get.models(dd, subset =
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