Sample from a t-distribution — sample

Sample from a (possibly multivariate) t-distribution. This function can be used to sample both from a prior or posterior, depending on the value of parameters provided.

Usage

sample_distrib(posterior, nb_sample = 1000)

Arguments

posterior: A tibble or data frame, detailing for each Peptide and each Group, the value of the t-distribution parameters. The expected format is typically a return from a posterior_mean() function. Expected columns in the univariate case: mu, lambda, alpha, beta. Expected columns in the multivariate case: mu, lambda, Sigma, nu.
nb_sample: A number, indicating the number of samples generated for each couple Peptide-Group.

Value

A tibble containing the Peptide, Group and Sample columns. The samples of each Peptide-Group

couple provide an empirical t-distribution that can be used to compute and display differences between groups.

Examples

TRUE
#> [1] TRUE