.perm_test_from_table   Permutation-test summary from an opls_perm
                        out_df table
add_note                Add user note to metabom8 provenance Appends a
                        user annotation to the '"m8_prep"' attribute.
                        The step title is formatted as '"note
                        {username}"'. The timestamp is stored in
                        'params', and the user message is stored in
                        'notes'.
align_segment           Align NMR Spectra in a Selected Shift Region
align_spectra           Cohort-Guided Interval Alignment for 1D NMR
                        Spectra
balanced_boot           Balanced bootstrap resampling strategy
balanced_mc             Balanced Monte-Carlo resampling strategy
binning                 Spectral data binning
calibrate               Chemical Shift Calibration
cliffs_d                Cliff's Delta Effect Size
correct_baseline        Baseline Correction for Spectral Data
correct_lw              Linewidth correction by scaling spectra to a
                        reference linewidth
covid                   COVID-19 blood plasma proton NMR spectra
                        (processed)
covid_raw               COVID-19 blood plasma proton NMR spectra (raw)
cv_anova                Cross-validated ANOVA for O-PLS models
dmodx                   Distance to the Model in X-Space (DModX)
ellipse2d               Calculate 2D Hotelling T^2 Ellipse
excise                  Excise Chemical Shift Regions from 1D NMR
                        Spectra
fitted                  Extract fitted Y values
get_idx                 Select Indices for a Chemical Shift Region
get_provenance          Retrieve metabom8 provenance metadata
hiit_raw                High-intensity interval training (HIIT) 1H NMR
                        urine dataset
hotellingsT2            Hotelling T^2 Statistic
kfold                   K-fold cross-validation strategy
list_preprocessing      List available preprocessing steps
loadings,m8_model-method
                        Model loadings
lw                      Full Width at Half Maximum (FWHM) Estimation
m8_model-class          m8_model class Model object returned by
                        'pca()', 'pls()', and 'opls()'.
mc                      Monte-Carlo cross-validation strategy
metabom8                metabom8: A High-Performance R Package for
                        Metabolomics Modeling and Analysis
minmax                  Min-Max Scaling to [0,1]
noise_sd                Estimate Noise Standard Deviation in 1D NMR
                        Spectra
norm_eretic             Normalise Spectra Using ERETIC Signal
opls                    Fit an Orthogonal Partial Least Squares (O-PLS)
                        model
opls_perm               OPLS Model Validation via Y-Permutation
pareto_scaling          Pareto Scaling Leaves variables unscaled.
                        Optional centering.
pca                     Principal Component Analysis (PCA)
plotStocsy              Plot STOCSY result
plot_spec               Plot 1D NMR Spectra
pls                     Fit a Partial Least Squares (PLS) model
ppick                   Find Local Extrema in NMR Spectra (Peak
                        Picking)
ppick2                  Peak picking using Savitzky–Golay derivatives
pqn                     Probabilistic Quotient Normalisation (PQN)
prep_X                  Applies a preprocessing strategy to a numeric
                        matrix.
print_preprocessing     List available preprocessing functions Returns
                        the preprocessing utilities provided by
                        'metabom8'.
print_provenance        Print metabom8 preprocessing pipeline
read1d                  Import 1D NMR spectra (TopSpin processed)
read1d_raw              Read raw FIDs and process to spectra
scRange                 Min-Max Scaling to Arbitrary Range
scores                  PLS/OPLS model scores
stocsy                  Statistical Total Correlation Spectroscopy
                        (STOCSY)
storm                   Subset Optimisation by Reference Matching
                        (STORM)
stratified_kfold        Y-stratified k-fold cross-validation strategy
unscaled                No Scaling This function defines a
                        preprocessing strategy that is applied via
                        'prep_X'.
uv_scaling              Unit Variance Scaling This function defines a
                        preprocessing strategy that is applied via
                        'prep_X'.
vip                     Variable Importance in Projection (VIP)
weights                 Extract model weights
xres                    Compute X residual matrix Returns the residual
                        matrix (E) of an OPLS model.
