generate_mvg_params {mergingTools}

Generate multivariate Gaussian distribution parameters

Description

generate_mvg_params takes as input the experimental data along its correlation matrix to estimate the Sigma matrix and the vector of means to compute the multivariate Gaussian distribution

Usage

generate_mvg_params(splitted_data = NULL, cor_matrix = NULL)

Arguments

splitted_data

Splitted experimental data.

cor_matrix

Correlation matrix

Value

Returns the parameters of the multivariate Gaussian distributions as well as a list of concatenated HEM readings

Examples

n_pmcs <- 6
data_much <- mergingTools::process_raw_experiments(data = data_much_raw_vignette,
                                                   n_pmcs = n_pmcs)
cor_matrix <- mergingTools::correlation_matrix(splitted_data = data_much)
dep_lvl <- 0.85
# Remove the HEMs which are linearly dependant on other HEMs
cor_matrix_independent <- mergingTools::get_independent_matrix(cor_matrix = cor_matrix,
                                                               dep_lvl = dep_lvl)
mvg_params <- mergingTools::generate_mvg_params(splitted_data = data_much,
                                                cor_matrix = cor_matrix_independent)