congratulations to developer - great package
it would be really helpful if input for binomial distributions could include and aggreegatee format for proportions aswell as the 0,1 format, as in R glmer
Examplein R: model model <- glmer(cbind(f0, f1) ~ a1_23 * b1 +(1|pno), data=ldf, family=binomial(link="logit"))
is equivalent to model <- glmer(bo1~ a1_23 * b1 +(1|pno), data=ldf, family=binomial(link="logit"))
where b01 is a binary variable with value 0 or 1
f0 is aggregate number of 0 values
f1 is aggregate number of 1 values
Have data set witeh proportions for different maxima rangin from 4 to 200 -expansion for b01 makes a very long file
aggregate input for generalized linear e.g. logit
- mcfanda@gmail.com
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- Joined: Thu Mar 23, 2017 9:24 pm
Re: aggregate input for generalized linear e.g. logit
Hi, could you please send an example of the two datasets, one containing the proportions, one the dichotomous, yielding the same results in glmer()?