Koren.16S               16S microbiome atherosclerosis study
auroc                   Area Under the Curve (AUC) and Receiver
                        Operating Characteristic (ROC) curves for
                        supervised classification
block.pls               Horizontal Partial Least Squares (PLS)
                        integration
block.plsda             Horizontal Partial Least Squares - Discriminant
                        Analysis (PLS-DA) integration
block.spls              Horizontal sparse Partial Least Squares (sPLS)
                        integration
block.splsda            Horizontal sparse Partial Least Squares -
                        Discriminant Analysis (sPLS-DA) integration
breast.TCGA             Breast Cancer multi omics data from TCGA
breast.tumors           Human Breast Tumors Data
cim                     Clustered Image Maps (CIMs) ("heat maps")
cimDiablo               Clustered Image Maps (CIMs) ("heat maps") for
                        DIABLO
circosPlot              circosPlot for DIABLO
color.jet               Color Palette for mixOmics
diverse.16S             16S microbiome data: most diverse bodysites
                        from HMP
estim.regul             Estimate the parameters of regularization for
                        Regularized CCA
explained_variance      Calculation of explained variance
image.estim.regul       Plot the cross-validation score.
image.tune.rcc          Plot the cross-validation score.
imgCor                  Image Maps of Correlation Matrices between two
                        Data Sets
ipca                    Independent Principal Component Analysis
linnerud                Linnerud Dataset
liver.toxicity          Liver Toxicity Data
logratio.transfo        Log-ratio transformation
map                     Classification given Probabilities
mat.rank                Matrix Rank
mint.block.pls          Horizontal and Vertical integration
mint.block.plsda        Horizontal and Vertical Discriminant Analysis
                        integration
mint.block.spls         Horizontal and Vertical sparse integration with
                        variable selection
mint.block.splsda       Horizontal and Vertical Discriminant Analysis
                        integration with variable selection
mint.pca                Vertical Principal Component integration
mint.pls                Vertical integration
mint.plsda              Vertical Discriminant Analysis integration
mint.spls               Vertical integration with variable selection
mint.splsda             Vertical Discriminant Analysis integration with
                        variable selection
mixOmics                PLS-derived methods: one function to rule them
                        all
multidrug               Multidrug Resistence Data
nearZeroVar             Identification of zero- or near-zero variance
                        predictors
network                 Relevance Network for (r)CCA and (s)PLS
                        regression
nipals                  Non-linear Iterative Partial Least Squares
                        (NIPALS) algorithm
nutrimouse              Nutrimouse Dataset
pca                     Principal Components Analysis
pcatune                 Tune the number of principal components in PCA
perf                    Compute evaluation criteria for PLS, sPLS,
                        PLS-DA, sPLS-DA, MINT and DIABLO
plot.perf               Plot for model performance
plot.rcc                Canonical Correlations Plot
plot.tune.splsda        Plot for model performance
plotArrow               Arrow sample plot
plotContrib             Contribution plot of variables
plotDiablo              Graphical output for the DIABLO framework
plotIndiv               Plot of Individuals (Experimental Units)
plotLoadings            Plot of Loading vectors
plotVar                 Plot of Variables
pls                     Partial Least Squares (PLS) Regression
plsda                   Partial Least Squares Discriminant Analysis
                        (PLS-DA).
predict.pls             Predict Method for (mint).(block).(s)pls(da)
                        methods
print                   Print Methods for CCA, (s)PLS, PCA and Summary
                        objects
rcc                     Regularized Canonical Correlation Analysis
scatterutil.base        Graphical utility functions from ade4
selectVar               Output of selected variables
sipca                   Independent Principal Component Analysis
spca                    Sparse Principal Components Analysis
spls                    Sparse Partial Least Squares (sPLS)
splsda                  Sparse Partial Least Squares Discriminant
                        Analysis (sPLS-DA)
srbct                   Small version of the small round blue cell
                        tumors of childhood data
stemcells               Human Stem Cells Data
study_split             divides a data matrix in a list of matrices
                        defined by a factor
summary                 Summary Methods for CCA and PLS objects
tune                    Overall tuning function that can be used to
                        tune several methods
tune.block.splsda       Tuning function for block.splsda method
tune.mint.splsda        Estimate the parameters of mint.splsda method
tune.multilevel         Tuning functions for multilevel analyses
tune.pca                Tune the number of principal components in PCA
tune.rcc                Estimate the parameters of regularization for
                        Regularized CCA
tune.splsda             Tuning functions for sPLS-DA method
unmap                   Dummy matrix for an outcome factor
vac18                   Vaccine study Data
vac18.simulated         Simulated data based on the vac18 study for
                        multilevel analysis
vip                     Variable Importance in the Projection (VIP)
withinVariation         Within matrix decomposition for repeated
                        measurements (cross-over design)
wrapper.rgcca           mixOmics wrapper for Regularised Generalised
                        Canonical Correlation Analysis (rgcca)
wrapper.sgcca           mixOmics wrapper for Sparse Generalised
                        Canonical Correlation Analysis (sgcca)
yeast                   Yeast metabolomic study