MetNet-package          Inferring metabolic networks from untargeted
                        high-resolution mass spectrometry data
addToList               Add adjacency matrix to list
aracne                  Create an adjacency matrix based on algorithm
                        for the reconstruction of accurate cellular
                        networks
bayes                   Create an adjacency matrix based on score-based
                        structure learning algorithm
clr                     Create an adjacency matrix based on context
                        likelihood or relatedness network
combine                 Combine structural and statistical adjacency
                        matrix
correlation             Create an adjacency matrix based on correlation
getLinks                Write an adjacency matrix to a 'data.frame'
lasso                   Create an adjacency matrix based on LASSO
mat_test                Example data for 'MetNet': unit tests
mat_test_z              Example data for 'MetNet': unit tests
peaklist                Example data for 'MetNet': data input
randomForest            Create an adjacency matrix based on random
                        forest
rtCorrection            Correct connections in the structural adjacency
                        matrix by retention time
statistical             Create a list of adjacency matrices from
                        statistical methods
structural              Create adjacency matrix based on m/z (molecular
                        weight) difference
threeDotsCall           Check if passed arguments match the function's
                        formal arguments and call the function with the
                        checked arguments
threshold               Threshold the statistical adjacency matrices
topKnet                 Return consensus ranks from a matrix containing
                        ranks
x_test                  Example data for 'MetNet': data input
