betaBinPost: Beta binomial posteriors

In genomaths/usefr: Utility Functions for Statistical Analyses

Beta binomial posteriors

Description

In a Bayesian framework, the parameters from Beta distribution, \alpha and \beta, estimated from count data are used as pseudo-counts to estimate the posterior probabilities:

p = (\alpha + success)/(\alpha + \beta + trials)

.

Usage

betaBinPost(x, num.cores = 1L, tasks = 0L, verbose = TRUE, ...)

Arguments

x	A numerical vector, a matrix or a data.frame object.
num.cores, tasks	Parameters for parallel computation using BiocParallel-package: the number of cores to use, i.e. at most how many child processes will be run simultaneously (see bplapply and the number of tasks per job (only for Linux OS).
verbose	if TRUE, prints the function log to stdout and a progress bar
...	Further arguments for betaDistEstimation function.

Author(s)

Robersy Sanchez <https://genomaths.com>

See Also

betaDistEstimation and estimateDirichDist

genomaths/usefr documentation built on April 18, 2023, 3:35 a.m.