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>.
Version: | 0.1.0 |
Imports: | Matrix, methods, Rcpp (≥ 1.0.2) |
LinkingTo: | Rcpp, RcppArmadillo, RcppThread |
Suggests: | dplyr, furrr, knitr, MASS, nnet, parallel, rmarkdown, stats, stringr, testthat, textmineR, tidytext, spelling |
Published: | 2020-06-25 |
Author: | Tommy Jones [aut, cre] |
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 results |
Reference manual: | mvrsquared.pdf |
Vignettes: |
Getting Started With mvrsquared |
Package source: | mvrsquared_0.1.0.tar.gz |
Windows binaries: | r-devel: mvrsquared_0.1.0.zip, r-release: mvrsquared_0.1.0.zip, r-oldrel: mvrsquared_0.1.0.zip |
macOS binaries: | r-release: mvrsquared_0.1.0.tgz, r-oldrel: mvrsquared_0.1.0.tgz |
Old sources: | mvrsquared archive |
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