Exact posterior for proportions of one categorical variable

Exact posterior estimation for proportions of one categorical variable using dirichlet prior and multinomial likelihood.

Usage

estimate_proportions(x, alpha = rep(1, length(x)))

Arguments

x

a vector of counts ("successes" in each group)

alpha

a vector of prior concentration parameters (default uniform)

Value

the posterior distribution estimate

Details

Assumes multinomial likelihood and Dirichlet prior

Examples

if (FALSE) { # \dontrun{
x = c(100, 200, 300)
post = estimate_proportions(x)
} # }