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20models
2006 Oct 12
0
Is there a function in R to evaluate the adjusted AIC or other statistc where overdispersion existed in GLMs?
...l know, the usual model selection criteria(e.g.deviance,AIC...) in
GLMs isn't very good for selecting the best model when overdispersion exist,
so we need to adjust the corresponding statistic,see(Fitzmaurice,G.M.
(1997) Model selection with overdispersed
data<file:///D:/²©Ê¿¿ÎÌâ/Prediction%20model%20of%20Snails/1997/Model%20Selection%20with%20Overdispersed%20Data.pdf>,
The Statistician,46(1):81-91.). Is there a function in R to evaluate the
adjusted AIC or other statistc where overdispersion existed in GLMs? How
should i do in that case?
Thanks in advance.
--
With Kind Regards,
oooO...
2024 Aug 22
2
Linear regression and stand deviation at the Linux command line
R List,
Please excuse this ultra-newbie post.
I looked at this page but it's a bit beyond me.
https://www2.kenyon.edu/Depts/Math/hartlaub/Math305%20Fall2011/R.htm
I'm interested in R construct(s) to be entered at the command
line that would output slope, y-intercept, and r-squared values read
from a csv or other filename entered at the command line, and the same
for standard deviation