CRAN/E | mvrsquared

mvrsquared

Compute the Coefficient of Determination for Vector or Matrix Outcomes

Installation

About

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) .

github.com/TommyJones/mvrsquared
Bug report File report

Key Metrics

Version 0.1.5
R ≥ 3.0.2
Published 2023-07-15 449 days ago
Needs compilation? yes
License MIT
License File
CRAN checks mvrsquared results
Language en-US

Downloads

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Maintainer

Maintainer

Tommy Jones

Authors

Tommy Jones

aut / cre

Thomas Nagler

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Getting Started With mvrsquared

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mvrsquared archive

Depends

R ≥ 3.0.2

Imports

Matrix
methods
Rcpp ≥ 1.0.2

Suggests

dplyr
furrr
knitr
MASS
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textmineR
tidytext
spelling

LinkingTo

Rcpp
RcppArmadillo
RcppThread ≥ 2.1.3

Reverse Imports

tidylda