bbll: Beta-binomial log likelihood

In RGLab/MIMOSA2: MIMOSA with baseline

Beta-binomial log likelihood

Description

Beta-binomial log likelihood

Usage

bbll(par, n, k)

Arguments

par	vector of beta-binomial parameters par[1] = logit(a / (a+b)), par[2] = log(a+b).
n	numeric integer, the total trials. Can be a vector.
k	numeric integer, the number of successes. Can be a vector.

Value

vector of beta-binomial log likelihoods for data n,k with parameters par

Examples

bbll(c(logit(0.5),log(100)),100,50)

RGLab/MIMOSA2 documentation built on Oct. 10, 2022, 8:35 p.m.