Package: mvrsquared 0.1.5

Tommy Jones

mvrsquared: 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) <arxiv:1911.11061>.

Authors:Tommy Jones [aut, cre], Thomas Nagler [ctb]

mvrsquared_0.1.5.tar.gz
mvrsquared_0.1.5.tar.gz(r-4.7-arm64)mvrsquared_0.1.5.tar.gz(r-4.7-x86_64)mvrsquared_0.1.5.tar.gz(r-4.6-arm64)mvrsquared_0.1.5.tar.gz(r-4.6-x86_64)
mvrsquared_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mvrsquared/json (API)
NEWS

# Install 'mvrsquared' in R:
install.packages('mvrsquared', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tommyjones/mvrsquared/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

3.32 score 1 packages 14 scripts 201 downloads 1 exports 5 dependencies

Last updated from:5bf2ca9a64. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK156
linux-devel-x86_64OK168
source / vignettesOK228
linux-release-arm64OK158
linux-release-x86_64OK160
wasm-releaseOK135

Exports:calc_rsquared

Dependencies:latticeMatrixRcppRcppArmadilloRcppThread

Getting Started With mvrsquared

Tommy Jones

Rendered fromgetting_started_with_mvrsquared.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2020-06-25
Started: 2020-02-20