bb_distribution: Beta-binomial distribution on the full support 0:n
In cNORM: Continuous Norming
bb_distribution R Documentation
Beta-binomial distribution on the full support 0:n
Description
Computes the (normalized) probability mass function, the cumulative
distribution function and mid-p percentiles of a beta-binomial
distribution in a numerically stable way (log space).
Usage
bb_distribution(a, b, n)
Arguments
a
Alpha parameter (> 0).
b
Beta parameter (> 0).
n
Number of trials / maximum score.
Value
A list with elements x (support 0:n), Px (pmf), cum (cdf) and
perc (mid-p percentiles, i.e. P(X < x) + 0.5 * P(X = x)).
cNORM documentation built on July 13, 2026, 5:08 p.m.
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| bb_distribution | R Documentation |
Beta-binomial distribution on the full support 0:n
Description
Computes the (normalized) probability mass function, the cumulative distribution function and mid-p percentiles of a beta-binomial distribution in a numerically stable way (log space).
Usage
bb_distribution(a, b, n)
Arguments
a |
Alpha parameter (> 0). |
b |
Beta parameter (> 0). |
n |
Number of trials / maximum score. |
Value
A list with elements x (support 0:n), Px (pmf), cum (cdf) and perc (mid-p percentiles, i.e. P(X < x) + 0.5 * P(X = x)).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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