Package: mvrsquared 0.1.5.999
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:
mvrsquared_0.1.5.999.tar.gz
mvrsquared_0.1.5.999.zip(r-4.5)mvrsquared_0.1.5.999.zip(r-4.4)mvrsquared_0.1.5.999.zip(r-4.3)
mvrsquared_0.1.5.999.tgz(r-4.4-x86_64)mvrsquared_0.1.5.999.tgz(r-4.4-arm64)mvrsquared_0.1.5.999.tgz(r-4.3-x86_64)mvrsquared_0.1.5.999.tgz(r-4.3-arm64)
mvrsquared_0.1.5.999.tar.gz(r-4.5-noble)mvrsquared_0.1.5.999.tar.gz(r-4.4-noble)
mvrsquared_0.1.5.999.tgz(r-4.4-emscripten)mvrsquared_0.1.5.999.tgz(r-4.3-emscripten)
mvrsquared.pdf |mvrsquared.html✨
mvrsquared/json (API)
NEWS
| # Install 'mvrsquared' in R: |
| install.packages('mvrsquared', repos = c('https://tommyjones.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tommyjones/mvrsquared/issues
Last updated 1 years agofrom:5387c148e9. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win-x86_64 | OK | Nov 10 2024 |
| R-4.5-linux-x86_64 | OK | Nov 10 2024 |
| R-4.4-win-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-aarch64 | OK | Nov 10 2024 |
| R-4.3-win-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-aarch64 | OK | Nov 10 2024 |
Exports:calc_rsquared
Dependencies:latticeMatrixRcppRcppArmadilloRcppThread
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate R-Squared. | calc_rsquared |
| mvrsquared | mvrsquared-package mvrsquared |
