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) <doi:10.48550/arXiv.1911.11061>.
Version: 0.1.5 Depends: R (≥ 3.0.2) Imports: Matrix, methods, Rcpp (≥ 1.0.2) LinkingTo: Rcpp, RcppArmadillo, RcppThread (≥ 2.1.3) Suggests: dplyr, furrr, knitr, MASS, nnet, parallel, rmarkdown, stats, stringr, testthat, textmineR, tidytext, spelling Published: 2023-07-15 DOI: 10.32614/CRAN.package.mvrsquared Author: Tommy Jones [aut, cre], Thomas Nagler [ctb] Maintainer: Tommy Jones <jones.thos.w at gmail.com> BugReports: https://github.com/TommyJones/mvrsquared/issues License: MIT + file LICENSE URL: https://github.com/TommyJones/mvrsquared NeedsCompilation: yes Language: en-US Materials: README NEWS CRAN checks: mvrsquared resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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