Linear Programming Discriminant Analysis
Classification with lpda for 3way array data
lpda.fit computes the discriminating hyperplane for two groups
lpda.pca computes a PCA to the original data and selects the desired P...
Computing discriminating hyperplane for two groups
Crossvalidation procedure for lpda3D evaluation
Crossvalidation procedure for lpda evaluation
Principal Component Analysis
Plot method for lpda classification
Plot method for lpda classification
Predict method for lpda.3D classification
Predict method for lpda classification
stand center and scale a data matrix
stand2 center and scale a data matrix with the parameters of another o...
Summarizing lpda.3D classification
Summarizing lpda classification
Classification method obtained through linear programming. It is advantageous with respect to the classical developments when the distribution of the variables involved is unknown or when the number of variables is much greater than the number of individuals. Mathematical details behind the method are published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". <doi:10.1371/journal.pone.0270403>.