
Identify differences in multivariate posteriors
multi_identify_diff.Rd
Compute a multivariate inference criterion to examine whether the posterior multivariate t-distributions of groups should be considered different enough to be called 'differential'. Two groups are considered can be discriminated based on the probability weights for the element-wise means to be greater in each group. The Credible Intervals for each marginals are also provided.
Usage
multi_identify_diff(
posterior,
plot = TRUE,
cumulative = FALSE,
CI_level = 0.05,
nb_sample = 10000,
nb_sample_per_dim = NULL
)
Arguments
- posterior
A tibble, typically coming from a
posterior_mean()
function, containing the parameters of the multivariate posterior t-distributions for the mean of the considered groups and draws for each peptide.- plot
A boolean, indicating whether a results plot should be displayed.
- cumulative
A boolean, indicating whether the probability distribution should be the cumulative instead.
- CI_level
A number, defining the order of quantile chosen to assess differences between groups.
- nb_sample
A number of samples to draw from the empirical distributions
- nb_sample_per_dim