posterior_mean {ProteoBayes}

Posterior distribution of the means

Description

Compute the posterior distribution of the means between multiple groups. All peptides are considered independent from one another.

Usage

posterior_mean(data, mu_0 = NULL, lambda_0 = 1, beta_0 = 1, alpha_0 = 1)

Arguments

data

A tibble or data frame containing imputed data sets for all groups. Required columns: Peptide, Output, Group, Sample.

mu_0

A vector, corresponding to the prior mean.

lambda_0

A number, corresponding to the prior covariance scaling parameter.

beta_0

A matrix, corresponding to the prior covariance parameter.

alpha_0

A number, corresponding to the prior degrees of freedom.

Value

A tibble providing the empirical posterior distribution for the

Examples

TRUE