dbbs: Probability mass function for a sum of beta-bernoulli...

In anthony-aylward/betabernsum:

Description

Probability mass function for a sum of beta-bernoulli variables

Usage

dbbs(x, size, prob = 0.5, rho = 0, shape1 = NULL, shape2 = NULL,
  independent = TRUE, ...)

pbbs(q, size, prob = 0.5, rho = 0, shape1 = NULL, shape2 = NULL,
  independent = TRUE, lower_tail = TRUE, cores = 1, ...)

Arguments

x, q	vector of quantiles.
size	vector giving the number of trials for each group.
prob	vector giving probability of success for each group.
rho	vector giving correlation parameter for each group.
shape1, shape2	the two (positive) shape parameters of the standard beta distribution. See the documentation for Betabinom in the VGAM package.
independent	logical. If TRUE (default), assume a sum of two independent groups of variables. If FALSE, assume all variables are mutually dependent.
...	other parameters passed to Betabinom
lower_tail	logical. If TRUE (default), probabilities are P[X <= x] otherwise, P[X > x].
cores	integer. Number of cores to use (default 1).

Value

numeric, the value of the probability mass or distribution function.

Functions

• pbbs: Distribution function for a sum of beta-bernoulli variables

anthony-aylward/betabernsum documentation built on Nov. 6, 2019, 10:20 a.m.