binomial aggregate generalized mixed models

dek

LOVE JASP- many thanks mto 1st rate team

BUT want to do generalized mixed models with binomial response, logit link

Works fine with 0,1 response variable in extended for (5210) observations, but not with same dara in more convenient aggreagate form (354) observations

Chosing binomila aggregate for input gvies following error message

"Generalized linear mixed model with binomial family and logit link function requres that the dependent variable is higher than 0 and lower than 1"

my data includes propotrions of 0 and 1.

aggregate runs perfectly in R

w3b2 <- glmer(cbind(freq, Nmax-freq) ~ W1_2_3*B2 +(W1_2_3|pno),

               data=wb, family=binomial(link="logit"))

would be enormously grateful if jasp could be modified to accept start points p =0 or p=1

JASP is so marvellously easy to use, but with this one flaw

can provide inpur files if required

please help

Diana

EJ

This issue is continued on GitHub.

E.J.