r - predicted values for glmer AICcmodavg -


i know 1 can predicted values (in original scale ~ probability) , se fixed effects aiccmodavg, i'm trying without success... can me that? in advance

library(lme4) (gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),               data = cbpp, family = binomial)) fixef(gm1)  library("aiccmodavg")  predictse(gm1,            newdata=as.data.frame(period=c("period1","period2","period3","period4")),            type="response",            se.fit=true,            level=0,            print.matrix=f)

it better read levels(cbpp$period), , not as.data.frame() data.frame()

levels(cbpp$period) # [1] "1" "2" "3" "4"  predictse(gm1,            newdata = data.frame(period=c("1", "2", "3", "4")),           type = "response",            se.fit = true,            level = 0,            print.matrix = f)


[edited]

simple method of searching cause of error 
fit <- ...(..., data = df)  predictse(fit, newdata = df) predictse(fit, newdata = ...)  # if 1st predictse() doesn't run, means model causes error. # if 1st runs 2nd doesn't, means due newdata.
if model has 2 factor; 
newd <- expand.grid(name1 = levels(df$name1), name2 = levels(df$name2)) predictse(fit, newdata = newd)  # pred <- predictse(fit, newdata = newd)  # cbind(newd, pred)            # interpret

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