Man pages for OmicsPLS
Data Integration with Two-Way Orthogonal Partial Least Squares
| adjR2 | Gridwise adjusted R2 for O2PLS |
| crossval_o2m | Cross-validate procedure for O2PLS |
| crossval_o2m_adjR2 | Adjusted Cross-validate procedure for O2PLS |
| crossval_sparsity | Perform cross-validation to find the optimal number of... |
| cv_lambda_checker | Check if sparsity parameters satisfy input conditions in... |
| cv_lambda_checker_group | Check if sparsity parameters satisfy input conditions in... |
| err_back | Internal function for crossval_sparsity |
| impute_matrix | Impute missing values in a matrix |
| input_checker | Check if matrices satisfy input conditions |
| lambda_checker | Check if penalization parameters satisfy input conditions |
| lambda_checker_group | Check if penalization parameters for groups satisfy input... |
| loadings | Extract the loadings from an O2PLS fit |
| loocv | K fold CV for O2PLS |
| loocv_combi | K-fold CV based on symmetrized prediction error |
| mse | Calculate mean squared difference |
| norm_vec | Norm of a vector |
| o2m | Perform O2PLS data integration with two-way orthogonal... |
| o2m2 | Perform O2-PLS with two-way orthogonal corrections |
| o2m_stripped | Perform O2-PLS with two-way orthogonal corrections |
| o2m_stripped2 | Perform O2-PLS with two-way orthogonal corrections |
| OmicsPLS-package | Data integration with O2PLS: Two-Way Orthogonal Partial Least... |
| orth | Orthogonalize a matrix |
| orth_vec | Orthogonalize a sparse loading vector with regard to a matrix |
| plot.o2m | Plot one or two loading vectors for class o2m |
| pow_o2m | NIPALS method for PLS2 |
| pow_o2m2 | Power method for PLS2 |
| predict.o2m | Predicts X or Y |
| print.cvo2m | Cross-validate procedure for O2PLS |
| print.o2m | Print function for O2PLS. |
| print.pre.o2m | Print function for O2PLS. |
| print.summary.o2m | Prints the summary of an O2PLS fit |
| rmsep | Root MSE of Prediction |
| rmsep_combi | Symmetrized root MSE of Prediction |
| scores | Extract the scores from an O2PLS fit |
| so2m_group | Perform Group Sparse O2PLS |
| ssq | Calculate Sum of Squares |
| summary.o2m | Summary of an O2PLS fit |
| thresh_n | Soft threshholding a vector with respect to a number of... |
| thresh_n_gr | Soft threshholding a vector with respect to a number of... |
| vnorm | Norm of a vector or columns of a matrix |
