Category: Methods

(s)PLS-DA update

  • plsda and splsda have been further improved so that all the S3 functions predict, print, plotIndiv, plot3dIndiv can be used with these new classes
  • Several prediction methods are now available to predict the classes of test data with plsda andsplsda, see argument 'method' (max.dist, class.dist, centroids.dist, mahalanobis.dist) in thepredict function

(s)PLS-DA added

  • plsda and splsda functions are implemented to perform PLS Discriminant Analysis (PLS-DA) and sparse PLS-DA respectively
  • breast.tumors data set is introduced to illustrate the (s)PLS-DA
  • PCA can also been performed with missing values using the NIPALS algorithm and 3D plots are also available for PCA
  • Network (updated) to display relevant associations between variables for (r)CCA and (s)PLS, with a new similarity function
  • A new similarity measure has been included in cim function and the arguments hclusfuncand distfunc to display Clustered image maps (heatmaps)