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.

car, ggplot2, MASS, moments, parallel, penalized, plyr,
reshape2, sn

c(
person("Michael Jongho", "Moon", email = "michael.moon@mail.utoronto.ca",
role = c("aut", "cre")),
person("Haoda", "Li", email = "haoda.li@mail.utoronto.ca",
role = c("aut")),
person("Mingwei", "Xu", email = "yuka.xu@mail.utoronto.ca",
role = c("aut")),
person("Nathan", "Taback", email = "nathan.taback@utoronto.ca",
role = "aut"),
person("Fanny", "Chevalier", email = "fanny@cs.tornto.edu",
role = "aut"),
person("Alison", "Gibbs", email = "alison.gibbs@utoronto.ca",
role = c("ctb"))
)
Extends 'multiverse' package
(Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021)
<doi:10.31219/osf.io/yfbwm>, which allows users perform to create explorable
multiverse analysis in R. This extension provides an additional level of
abstraction to the 'multiverse' package with the aim of creating
user friendly syntax to researchers, educators, and students in statistics.
The 'mverse' syntax is designed to allow piping and takes hints from
the 'tidyverse' grammar. The package allows users to define and inspect
multiverse analysis using familiar syntax in R.
magrittr (>= 1.5), rlang, dplyr, tidyr, tidyselect, stringr,
stats, broom, grDevices, igraph, ggraph, ggplot2, cowplot
tidyverse, scales, MASS, testthat (>= 2.1.0), pkgdown (>=
1.5.1), covr, knitr, rmarkdown, kableExtra
Michael Jongho Moon [aut, cre],
Haoda Li [aut],
Mingwei Xu [aut],
Nathan Taback [aut],
Fanny Chevalier [aut],
Alison Gibbs [ctb]