I'm using the mcexact function from the exactLoglinTest package on data
comparing performance of rapid and laboratory tests for detection of H1N1
flu. My setup is as follows:
ridt.res <- c("A-B-", "A+B-", "A-B+")
pcr.res <- c("Negative", "AH3", "B")
xtab <- expand.grid(ridt = ridt.res, pcr = pcr.
AIC(sum.coef7)
Erreur dans UseMethod("logLik") : pas de méthode applicable pour "logLik"
I tried but no usemethod("loglik")-> svyglm doesn't use Likelihood.
2010/8/3 Brad Fulton
> Hi Rwanuza
>
>
>
> Here is the code I used to calculate the BIC score from the AIC score
>
>
>
> Model.1=svyglm(a
Does anyone know how to calculated a AIC, BIC, score when using svyglm for
logistic regressions?
Thanks
Rwanuza
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I'm running a logistic regression model in R. I've used both the Zelig and Car
packages. However, I'm wondering if there is a simple way to get the model fit
statistics for the model. (pseudo R-square, chi-square, log liklihood,etc)
Thanks
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