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aic
2011 Sep 15
1
p-value for non linear model
...ple I have vectX1 and vectY1.
I seek first what model is best suited for my vectors and
then I want to know if my result is significant.
I'am doing like this:
model1 <- lm(vectY1 ~ vectX1, data= d),
model2 <- nls(vectY1 ~ a*(1-exp(-vectX1/b)) + c, data= d,
start = list(a=1, b=3, c=0))
aic1 <- AIC(model1)
aic2 <- AIC(model2)
if (aic1 < aic2) print("Model1 is better")
else print("Model2 is better")
for example aic1 < aic2 I'am doing summary(model1) and I have p-value to
know if my result is significant.
but if aic2 < aic1, so model 2, non line...
2008 May 07
2
Estimating QAIC using glm with the quasibinomial family
Hello R-list. I am a "long time listener - first time caller" who has
been using R in research and graduate teaching for over 5 years. I
hope that my question is simple but not too foolish. I've looked
through the FAQ and searched the R site mail list with some close hits
but no direct answers, so...
I would like to estimate QAIC (and QAICc) for a glm fit using the
2007 Dec 18
1
How can I extract the AIC score from a mixed model object produced using lmer?
I am running a series of candidate mixed models using lmer (package lme4)
and I'd like to be able to compile a list of the AIC scores for those
models so that I can quickly summarize and rank the models by AIC. When I
do logistic regression, I can easily generate this kind of list by creating
the model objects using glm, and doing:
> md <- c("md1.lr", "md2.lr",
2007 Aug 03
3
question about logistic models (AIC)
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2009 Apr 29
12
Una pregunta de estadística (marginalmente relacionada con R)
Hola, ¿qué tal?
Tengo una pregunta de esta