depvar(object, ...)
type = c("lm", "lm2")
is
available, in which case the first one is chosen if the
user does not input a value.
The latter value correspondsfit@y
, say.model.matrix
,
vglm
.pneumo <- transform(pneumo, let = log(exposure.time))
(fit <- vglm(cbind(normal, mild, severe) ~ let, propodds, data = pneumo))
fit@y # Sample proportions (not recommended)
depvar(fit) # Better than using fit@y; dependent variable (response)
weights(fit, type = "prior") # Number of observations
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