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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Tommy Jones, 9 days ago

Report a bug at

Browse source code at

Authors: Tommy Jones [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Matrix, methods, Rcpp

Suggests dplyr, furrr, knitr, MASS, nnet, parallel, rmarkdown, stats, stringr, testthat, textmineR, tidytext, spelling

Linking to Rcpp, RcppArmadillo, RcppThread

See at CRAN