| auroc | Area Under the Curve (AUC) and Receiver Operating... |
| background.predict | Calculate prediction areas |
| biplot | biplot methods for 'pca' family |
| block.pls | N-integration with Projection to Latent Structures models... |
| block.plsda | N-integration with Projection to Latent Structures models... |
| block.spls | N-integration and feature selection with sparse Projection to... |
| block.splsda | N-integration and feature selection with Projection to Latent... |
| 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 |
| colors | Color Palette for mixOmics |
| diverse.16S | 16S microbiome data: most diverse bodysites from HMP |
| explained_variance | Calculates the proportion of explained variance of... |
| get.confusion_matrix | Create confusion table and calculate the Balanced Error Rate |
| image.tune.rcc | Plot the cross-validation score. |
| imgCor | Image Maps of Correlation Matrices between two Data Sets |
| impute.nipals | Impute missing values using NIPALS algorithm |
| ipca | Independent Principal Component Analysis |
| Koren.16S | 16S microbiome atherosclerosis study |
| linnerud | Linnerud Dataset |
| liver.toxicity | Liver Toxicity Data |
| logratio-transformations | Log-ratio transformation |
| map | Classification given Probabilities |
| mat.rank | Matrix Rank |
| mint.block.pls | NP-integration |
| mint.block.plsda | NP-integration with Discriminant Analysis |
| mint.block.spls | NP-integration for integration with variable selection |
| mint.block.splsda | NP-integration with Discriminant Analysis and variable... |
| mint.pca | P-integration with Principal Component Analysis |
| mint.pls | P-integration |
| mint.plsda | P-integration with Projection to Latent Structures models... |
| mint.spls | P-integration with variable selection |
| mint.splsda | P-integration with Discriminant Analysis and variable... |
| mixOmics | PLS-derived methods: one function to rule them all! |
| mixOmics-package | 'Omics Data Integration Project |
| 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 |
| perf | Compute evaluation criteria for PLS, sPLS, PLS-DA, sPLS-DA,... |
| perf.assess | Compute evaluation criteria for PLS, sPLS, PLS-DA, sPLS-DA,... |
| plotArrow | Arrow sample plot |
| plotDiablo | Graphical output for the DIABLO framework |
| plotIndiv | Plot of Individuals (Experimental Units) |
| plotLoadings | Plot of Loading vectors |
| plotMarkers | Plot the values for multivariate markers in block analyses |
| plot.pca | Show (s)pca explained variance plots |
| plot.perf | Plot for model performance for PSLDA analyses |
| plot.perf.pls | Plot for model performance for PLS analyses |
| plot.rcc | Canonical Correlations Plot |
| plot.tune | Plot model performance |
| plotVar | Plot of Variables |
| pls | Partial Least Squares (PLS) Regression |
| plsda | Partial Least Squares Discriminant Analysis (PLS-DA). |
| predict | Predict Method for (mint).(block).(s)pls(da) methods |
| rcc | Regularized Canonical Correlation Analysis |
| S3methods-print | Print Methods for CCA, (s)PLS, PCA and Summary objects |
| 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... |
| stemcells | Human Stem Cells Data |
| study_split | divides a data matrix in a list of matrices defined by a... |
| summary | Summary Methods for CCA and PLS objects |
| tune | Wrapper function to tune pls-derived methods. |
| tune.block.splsda | Tuning function for block.splsda method (N-integration with... |
| tune.mint.splsda | Estimate the parameters of mint.splsda method |
| tune.pca | Tune the number of principal components in PCA |
| tune.rcc | Estimate the parameters of regularization for Regularized CCA |
| tune.spca | Tune number of selected variables for spca |
| tune.spls | Tuning functions for sPLS and PLS functions |
| tune.splsda | Tuning functions for sPLS-DA method |
| tune.splslevel | Parallelized Tuning function for multilevel sPLS method using... |
| unmap | Dummy matrix for an outcome factor |
| vac18 | Vaccine study Data |
| vac18.simulated | Simulated data based on the vac18 study for multilevel... |
| vip | Variable Importance in the Projection (VIP) |
| withinVariation | Within matrix decomposition for repeated measurements... |
| wrapper.rgcca | mixOmics wrapper for Regularised Generalised Canonical... |
| wrapper.sgcca | mixOmics wrapper for Sparse Generalised Canonical Correlation... |
| yeast | Yeast metabolomic study |
| zz-defunct | Estimate the parameters of regularization for Regularized CCA |
