Acc                     Accuracy
Acc_rnd                 Accuracy of a random model
Boots_CI                Confidence Interval using Bootstrap
BrayCurtis              Kernels for count data
Chi2                    Chi-squared kernel
Dirac                   Kernels for categorical variables
F1                      F1 score
Frobenius               Frobenius kernel
Jaccard                 Kernels for sets
KTA                     Kernel-target alignment
Kendall                 Kendall's tau kernel
Laplace                 Laplacian kernel
Linear                  Linear kernel
MKC                     Multiple Kernel (Matrices) Combination
Normal_CI               Confidence Interval using Normal Approximation
Prec                    Precision or PPV
Procrustes              Procrustes Analysis
RBF                     Gaussian RBF (Radial Basis Function) kernel
Rec                     Recall or Sensitivity or TPR
Spe                     Specificity or TNR
Spectrum                Spectrum kernel
TSS                     Total Sum Scaling
aggregate_imp           Aggregate importances
cLinear                 Compositional kernels
centerK                 Centering a kernel matrix
centerX                 Centering a squared matrix by row or column
cosNorm                 Cosine normalization of a kernel matrix
cosnormX                Cosine normalization of a matrix
desparsify              This function deletes those columns and/or rows
                        in a matrix/data.frame that only contain 0s.
dummy_data              Convert categorical data to dummies.
dummy_var               Levels per factor variable
estimate_gamma          Gamma hyperparameter estimation (RBF kernel)
frobNorm                Frobenius normalization
heatK                   Kernel matrix heatmap
histK                   Kernel matrix histogram
kPCA                    Kernel PCA
kPCA_arrows             Plot the original variables' contribution to a
                        PCA plot
kPCA_imp                Contributions of the variables to the Principal
                        Components ("loadings")
minmax                  Minmax normalization
nmse                    NMSE (Normalized Mean Squared Error)
plotImp                 Importance barplot
showdata                Showdata
simK                    Kernel matrix similarity
soil                    Soil microbiota (raw counts)
svm_imp                 SVM feature importance
vonNeumann              Von Neumann entropy
