Dependent Variable as Factor Crashes Model

[BradSegal]

Attempting to run a parglm for a model with the output configured as factors fails to run correctly and produces the following error:
Error in Summary.factor(c(1= NaN,2= NaN,3= NaN,4 = NaN, : ‘sum’ not meaningful for factors In addition: Warning messages: 1: In Ops.factor(y, mu) : ‘-’ not meaningful for factors 2: In Ops.factor(weights, y) : ‘*’ not meaningful for factors

Running the same model with speedglm or glm doesn't return an error

Dataset <- data.frame(
  y = c(0,1,1,0,0,0,0,0,1),
  lot1 = c(118,58,42,35,27,25,21,19,18),
  lot2 = c(69,35,26,21,18,16,13,12,12))

Dataset$y <- factor(Dataset$y)

parglm(y ~ . , data = Dataset, family = "binomial", control = parglm.control((nthreads = 4L))) 
speedglm(y ~ . , data = Dataset, family = binomial()) 
glm(y ~ . , data = Dataset, family = "binomial")