Dear All,
I'm using AIC-weighted model averaging to calculate model averaged
parameter estimates and partial r-squares of each variable in a
10-variable linear regression.
I've been using the MuMIn package to calculate parameter estimates, but
am struggling with partial r-squares. There doesn't seem to be any
function in the MuMIn package dealing with partial r-square
(r.squaredLR() looks promising, but I think there is a problem updating
MuMIn so I can't use this (new?) function). I know you can calculate
partial r-squares using plot(anova(ols()), what = 'partial R2') but I
don't know how best to do this for all 1024 models and then calculate
the AIC-weighted model average.
Are there any packages out there that I'm missing? Or any ideas for
combining MuMIn with anova.Design and Hmisc?
Thanks in advance, and apologies if my problem is badly worded.
Tom
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