gamma_poisson_clough {dupiR}

Compute posterior probability using a Gamma-Poisson model (Clough et al.)

Description

Compute posterior probability using a Gamma-Poisson model (Clough et al.)

Usage

gamma_poisson_clough(object, n_start, n_end, a = 1, b = 1e-10)

Arguments

object

object of class Counts

n_start

start of prior support range

n_end

end of prior support range

a

prior shape parameter of the gamma distribution used to compute the posterior with Clough. Default to 1

b

prior rate parameter of the gamma distribution used to compute the posterior with Clough. Default to 1e-10

Value

vector of posterior probabilities

Note

if support range spans more than 100k values, the posterior is not computed