mvrsquared: Compute the Coefficient of Determination for Vector or Matrix Outcomes

Compute the coefficient of determination for outcomes in n-dimensions. May be useful for multidimensional predictions (such as a multinomial model) or calculating goodness of fit from latent variable models such as probabilistic topic models like latent Dirichlet allocation or deterministic topic models like latent semantic analysis. Based on Jones (2019) <arXiv:1911.11061>.

Package details

AuthorTommy Jones [aut, cre] (<https://orcid.org/0000-0001-6457-2452>), Thomas Nagler [ctb] (<https://orcid.org/0000-0003-1855-0046>)
MaintainerTommy Jones <jones.thos.w@gmail.com>
LicenseMIT + file LICENSE
Version0.1.5
URL https://github.com/TommyJones/mvrsquared
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mvrsquared")

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mvrsquared documentation built on July 26, 2023, 5:31 p.m.