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) .


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install.packages("mvrsquared")

0.0.3 by Tommy Jones, 2 months ago


https://github.com/TommyJones/mvrsquared


Report a bug at https://github.com/TommyJones/mvrsquared/issues


Browse source code at https://github.com/cran/mvrsquared


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

Linking to Rcpp, RcppArmadillo


See at CRAN