hamlet: Hierarchical Optimal Matching and Machine Learning Toolbox
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.
||R (≥ 3.0.0)
||grDevices, graphics, stats, utils
||lme4, nlme, amap, nbpMatching, lattice, lmerTest, xtable
||Teemu Daniel Laajala
||Teemu Daniel Laajala <teelaa at utu.fi>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]