Basically when you try to make a mixture distribution with a vector of distributional objects it doesn't work. The results are very strange. It would be fine if it errored and just said you needed a list.
Brief description of the problem
# This works as I expect it to
dist_ls <- list(dist_normal(mu = 0, sigma = 1), dist_student_t(df = 10),
dist_student_t(df = 5))
dist_mixture(!!!dist_ls,
weights = c(0.5,0.2, 0.3))
# This makes makes a vector named vector where the length and the names match
# the number of parameters in the first distribution. But, each element of the
# vector is what I expect
dist_vec <- c(dist_normal(mu = 0, sigma = 1), dist_student_t(df = 10),
dist_student_t(df = 5))
dist_mixture(!!!dist_vec,
weights = c(0.5,0.2, 0.3))
Basically when you try to make a mixture distribution with a vector of distributional objects it doesn't work. The results are very strange. It would be fine if it errored and just said you needed a list.
Brief description of the problem