mvdalab: Multivariate Data Analysis Laboratory

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users). Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Getting started

Package details

AuthorNelson Lee Afanador, Thanh Tran, Lionel Blanchet, and Richard Baumgartner
MaintainerNelson Lee Afanador <>
Package repositoryView on CRAN
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mvdalab documentation built on Oct. 6, 2022, 1:05 a.m.