Hierarchical Optimal Matching and Machine Learning Toolbox
Extend range of variable limits while retaining a point of symmetricit...
Hierarchical Optimal Matching and Machine Learning Toolbox
Add a row and column annotations to a plot-region based heatmap built ...
Add a color key to a plot-region based heatmap built with 'hmap'
Plot-region based heatmap
Allocation of matched units to intervention arms
Branch and Bound algorithm implementation for performing multigroup no...
Create dummy individuals or sinks to a data matrix or a distance/dissi...
Non-bipartite matching using the Genetic Algorithm (GA)
Transform a binary matching matrix to a matching vector
Transform a matching vector to a binary matching matrix
Extract per-observation components for fixed and random effects of a m...
Plot random effects histograms for a fitted mixed-effects model
Plot residuals of a mixed-effects model along with trend lines
Power simulations for the fixed effects of a mixed-effects model throu...
Binary coding of categorical variables
Apply function to numerical columns of a mixed data.frame while ignori...
Scatterplot for mixed type data
Smart jittering function for deterministic shifting of overlapping val...
Various functions and algorithms are provided here for solving optimal matching tasks in the context of preclinical cancer studies. Further, various helper and plotting functions are provided for unsupervised and supervised machine learning as well as longitudinal mixed-effects modeling of tumor growth response patterns.