General Effect Modelling
Confidence Intervals of Effect Differences
Elastic-net modeling of GEM objects.
General Effect Modelling
Knock-in and knock-out of effect(s)
Neural Network by Multilayer Perceptron
Principal Component Analysis
Plot function and extraction method for GEM-based PLS
Partial Least Squares modelling of GEM objects.
Objects exported from other packages
Simultaneous Component Analysis
Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.