Robert Keefe wrote:
Hello All,
Specifying 'type = "response"' when using predict() on a model fit using glm(...,family="binomial") returns fitted probabilities.
Is it possible to get the same from a model object fit using glmmPQL() ?
glmmPQL returns an lmeObject which has no "family" information. You will have to do this operation yourself. As in:
R> x = glmmPQL(y ~ trt + I(week > 2), random = ~ 1 | ID, R+ family = binomial, data = bacteria) # from help page iteration 1 iteration 2 iteration 3 iteration 4 iteration 5 iteration 6 R> y = predict(x) R> str(y) atomic [1:220] 4.05 4.05 2.44 2.44 2.25 ... - attr(*, "label")= chr "Fitted values" R> z = binomial()$linkinv(y) # default: link = "logit" R> str(z) num [1:220] 0.983 0.983 0.920 0.920 0.905 ...
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